Controlled vocabulary thesaurus produced by the NATIONAL LIBRARY OF MEDICINE. It consists of sets of terms naming descriptors in a hierarchical structure that permits searching at various levels of specificity.
Terms or expressions which provide the major means of access by subject to the bibliographic unit.
The premier bibliographic database of the NATIONAL LIBRARY OF MEDICINE. MEDLINE® (MEDLARS Online) is the primary subset of PUBMED and can be searched on NLM's Web site in PubMed or the NLM Gateway. MEDLINE references are indexed with MEDICAL SUBJECT HEADINGS (MeSH).
Activities performed to identify concepts and aspects of published information and research reports.
'Catalogs, Library' are systematic listings or databases of an organized collection of library resources, such as books, periodicals, multimedia materials, and digital assets, that provide comprehensive descriptions, locations, and access information to facilitate efficient retrieval and usage.
An agency of the NATIONAL INSTITUTES OF HEALTH concerned with overall planning, promoting, and administering programs pertaining to advancement of medical and related sciences. Major activities of this institute include the collection, dissemination, and exchange of information important to the progress of medicine and health, research in medical informatics and support for medical library development.
Organized activities related to the storage, location, search, and retrieval of information.
A bibliographic database that includes MEDLINE as its primary subset. It is produced by the National Center for Biotechnology Information (NCBI), part of the NATIONAL LIBRARY OF MEDICINE. PubMed, which is searchable through NLM's Web site, also includes access to additional citations to selected life sciences journals not in MEDLINE, and links to other resources such as the full-text of articles at participating publishers' Web sites, NCBI's molecular biology databases, and PubMed Central.
Shortened forms of written words or phrases used for brevity.
A computerized biomedical bibliographic storage and retrieval system operated by the NATIONAL LIBRARY OF MEDICINE. MEDLARS stands for Medical Literature Analysis and Retrieval System, which was first introduced in 1964 and evolved into an online system in 1971 called MEDLINE (MEDLARS Online). As other online databases were developed, MEDLARS became the name of the entire NLM information system while MEDLINE became the name of the premier database. MEDLARS was used to produce the former printed Cumulated Index Medicus, and the printed monthly Index Medicus, until that publication ceased in December 2004.
The terms, expressions, designations, or symbols used in a particular science, discipline, or specialized subject area.
A specified list of terms with a fixed and unalterable meaning, and from which a selection is made when CATALOGING; ABSTRACTING AND INDEXING; or searching BOOKS; JOURNALS AS TOPIC; and other documents. The control is intended to avoid the scattering of related subjects under different headings (SUBJECT HEADINGS). The list may be altered or extended only by the publisher or issuing agency. (From Harrod's Librarians' Glossary, 7th ed, p163)
A research and development program initiated by the NATIONAL LIBRARY OF MEDICINE to build knowledge sources for the purpose of aiding the development of systems that help health professionals retrieve and integrate biomedical information. The knowledge sources can be used to link disparate information systems to overcome retrieval problems caused by differences in terminology and the scattering of relevant information across many databases. The three knowledge sources are the Metathesaurus, the Semantic Network, and the Specialist Lexicon.
Extensive collections, reputedly complete, of references and citations to books, articles, publications, etc., generally on a single subject or specialized subject area. Databases can operate through automated files, libraries, or computer disks. The concept should be differentiated from DATABASES, FACTUAL which is used for collections of data and facts apart from bibliographic references to them.
Data processing largely performed by automatic means.
A publication issued at stated, more or less regular, intervals.
Computer processing of a language with rules that reflect and describe current usage rather than prescribed usage.
The field of information science concerned with the analysis and dissemination of medical data through the application of computers to various aspects of health care and medicine.
The temporal sequence of events that have occurred.
A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.
Activities performed in the preparation of bibliographic records for CATALOGS. It is carried out according to a set of rules and contains information enabling the user to know what is available and where items can be found.
The term "United States" in a medical context often refers to the country where a patient or study participant resides, and is not a medical term per se, but relevant for epidemiological studies, healthcare policies, and understanding differences in disease prevalence, treatment patterns, and health outcomes across various geographic locations.
Sequential operating programs and data which instruct the functioning of a digital computer.
A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
'Medical Libraries' are repositories or digital platforms that accumulate, organize, and provide access to a wide range of biomedical information resources including but not limited to books, journals, electronic databases, multimedia materials, and other evidence-based health data for the purpose of supporting and advancing clinical practice, education, research, and administration in healthcare.
The continuous visual field seen by a subject through space and time.
Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.
Integrated set of files, procedures, and equipment for the storage, manipulation, and retrieval of information.
Diseases which have one or more of the following characteristics: they are permanent, leave residual disability, are caused by nonreversible pathological alteration, require special training of the patient for rehabilitation, or may be expected to require a long period of supervision, observation, or care. (Dictionary of Health Services Management, 2d ed)
Encouraging consumer behaviors most likely to optimize health potentials (physical and psychosocial) through health information, preventive programs, and access to medical care.
Compositions written by hand, as one written before the invention or adoption of printing. A manuscript may also refer to a handwritten copy of an ancient author. A manuscript may be handwritten or typewritten as distinguished from a printed copy, especially the copy of a writer's work from which printed copies are made. (Webster, 3d ed)
Print and non-print materials collected, processed, and stored by libraries. They comprise books, periodicals, pamphlets, reports, microforms, maps, manuscripts, motion pictures, and all other forms of audiovisual records. (Harrod, The Librarians' Glossary, 4th ed, p497)
The use of mind to cure disease, particularly physical illness.
Services designed for HEALTH PROMOTION and prevention of disease.
Branch of medicine concerned with the prevention and control of disease and disability, and the promotion of physical and mental health of the population on the international, national, state, or municipal level.

Gene indexing: characterization and analysis of NLM's GeneRIFs. (1/187)

We present an initial analysis of the National Library of Medicine's (NLM) Gene Indexing initiative. Gene Indexing occurs at the time of indexing for all 4600 journals and over 500,000 articles added to PubMed/MEDLINE each year. Gene Indexing links articles about the basic biology of a gene or protein within eight model organisms to a specific record in the NLM's LocusLink database of gene products. The result is an entry called a Gene Reference Into Function (GeneRIF) within the LocusLink database. We analyzed the numbers of GeneRIFs produced in the first year of GeneRIF production. 27,645 GeneRIFs were produced, pertaining to 9126 loci over eight model organisms. 60% of these were associated with human genes and 27% with mouse genes. About 80% discuss genes with an established MeSH Heading or other MeSH term. We developed a prototype functional alerting system for researchers based on the GeneRIFs, and a strategy to find all of the literature related to genes. We conclude that the Gene Indexing initiative adds considerable value to the life sciences research community.  (+info)

The dimensions of indexing. (2/187)

Indexing of documents is an important strategy intended to make the literature more readily available to the user. Here we describe several dimensions of indexing that are important if indexing is to be optimal. These dimensions are coverage, predictability, and transparency. MeSH terms and text words are compared in MEDLINE in regard to these dimensions. Part of our analysis consists in applying AdaBoost with decisions trees as the weak learners to estimate how reliably index terms are being assigned and how complex the criteria are by which they are being assigned. Our conclusions are that MeSH terms are more predictable and more transparent than text words.  (+info)

Developing optimal search strategies for detecting clinically sound causation studies in MEDLINE. (3/187)

BACKGROUND: Clinical end users of MEDLINE must be able to retrieve articles that are both scientifically sound and directly relevant to clinical practice. The use of methodologic search filters has been advocated to improve the accuracy of searching for such studies. These filters are available for the literature on therapy and diagnosis, but strategies for the literature on causation have been less well studied. OBJECTIVE: To determine the retrieval characteristics of methodologic terms in MEDLINE for identifying methodologically sound studies on causation. DESIGN: Comparison of methodologic search terms and phrases for the retrieval of citations in MEDLINE with a manual hand search of the literature (the gold standard) for 162 core health care journals. METHODS: 6 trained, experienced research assistants read all issues of 162 journals for the publishing year 2000. Each article was rated using purpose and quality indicators and categorized into clinically relevant original studies, review articles, general papers, or case reports. The original and review articles were then categorized as 'pass' or 'fail' for methodologic rigor in the areas of therapy/quality improvement, diagnosis, prognosis, causation, economics, clinical prediction, and review articles. Search strategies were developed for all categories including causation. MAIN OUTCOME MEASURES: Sensitivity, specificity, precision, and accuracy of the search strategies. RESULTS: 12% of studies classified as causation met basic criteria for scientific merit for testing clinical applications. Combinations of terms reached peak sensitivities of 93%. Compared with the best single term, multiple terms increased sensitivity for sound studies by 15.5% (absolute increase), but with some loss of specificity when sensitivity was maximized. Combining terms to optimize sensitivity and specificity achieved sensitivities and specificities both above 80%. CONCLUSION: The retrieval of causation studies cited in MEDLINE can be substantially enhanced by selected combinations of indexing terms and textwords.  (+info)

Developing optimal search strategies for detecting sound clinical prediction studies in MEDLINE. (4/187)

BACKGROUND: The gaining interest in the use of clinical prediction guides as an aid for helping clinicians make effective front-line decisions, together with the increasing emphasis on evidence-based practice, underscores the need for accurate identification of sound clinical prediction studies. Despite the growing use of clinical prediction guides, little work has been done on identifying optimal literature search filters for retrieving these types of studies. The current study extends our earlier work, on developing optimal search strategies, to include clinical prediction guides. OBJECTIVE: To develop optimal search strategies for detecting methodologically sound clinical prediction studies in MEDLINE in the publishing year 2000. DESIGN: Comparison of the retrieval performance of methodologic search strategies in MEDLINE with a manual review ("gold standard") of each article for each issue of 162 core health care journals for the year 2000. METHODS: 6 experienced research assistants who had been trained and intensively calibrated reviewed all issues of 162 journals for the publishing year 2000. Each article was classified for format, interest, purpose, and methodologic rigor. Search strategies were developed for all purpose categories, including studies of clinical prediction guides. MAIN OUTCOME MEASURES: The sensitivity (recall), specificity, precision, and accuracy of single and combinations of search terms. RESULTS: 39% of original studies classified as a clinical prediction guide were methodologically sound. Combinations of terms reached peak sensitivities of 95%. Compared with the best single term, a three-term strategy increased sensitivity for sound studies by 17% (absolute increase), but with some loss of specificity when sensitivity was maximized. When search terms were combined to optimize sensitivity and specificity, these values reached or were close to 90%. CONCLUSION: Several search strategies can enhance the retrieval of sound clinical prediction studies.  (+info)

Automated knowledge extraction for decision model construction: a data mining approach. (5/187)

Combinations of Medical Subject Headings (MeSH) and Subheadings in MEDLINE citations may be used to infer relationships among medical concepts. To facilitate clinical decision model construction, we propose an approach to automatically extract semantic relations among medical terms from MEDLINE citations. We use the Apriori association rule mining algorithm to generate the co-occurrences of medical concepts, which are then filtered through a set of predefined semantic templates to instantiate useful relations. From such semantic relations, decision elements and possible relationships among them may be derived for clinical decision model construction. To evaluate the proposed method, we have conducted a case study in colorectal cancer management; preliminary results have shown that useful causal relations and decision alternatives can be extracted.  (+info)

Toward (semi-)automatic generation of bio-medical ontologies. (6/187)

The design and construction of domain specific ontologies and taxonomies requires allocation of huge resources in terms of cost and time. These efforts are human intensive and we need to explore ways of minimizing human involvement and other resources. In the biomedical domain, we seek to leverage resources such as the UMLS Metathesaurus and NLP-based applications such as MetaMap in conjunction with statistical clustering techniques, to (partially) automate the process. This is expected to be useful to the team involved in developing MeSH and other biomedical taxonomies to identify gaps in the existing taxonomies, and to be able to quickly bootstrap taxonomy generation for new research areas in biomedical informatics.  (+info)

Visual mapping for medical concepts. (7/187)

Concept relationships are traditionally defined in human-generated vocabulary lists such as the Medical Subject Headings (MeSH). This poster describes a prototype system that automatically generates concept relationships from the medical literature. The system is directly connected to the PUBMED search engine. For any given medical concept, the system will generate two styles of visual maps from MEDLINE in real time. Users can use the maps to explore concept relationships or construct better search queries interactively.  (+info)

Automated indexing of the Hazardous Substances Data Bank (HSDB). (8/187)

The Hazardous Substances Data Bank (HSDB), produced and maintained by the National Library of Medicine (NLM), contains over 4600 records on potentially hazardous chemicals. To enhance information retrieval from HSDB, NLM has undertaken the development of an automated HSDB indexing protocol as part of its Indexing Initiative. The NLM Indexing Initiative investigates methods whereby automated indexing may partially or completely substitute for human indexing. The poster's purpose is to describe the HSDB Automated Indexing Project.  (+info)

Medical Subject Headings (MeSH) is a controlled vocabulary thesaurus produced by the U.S. National Library of Medicine (NLM). It is used to index, catalog, and search for biomedical and health-related information and documents, such as journal articles and books. MeSH terms represent a consistent and standardized way to describe and categorize biomedical concepts, allowing for more precise and effective searching and retrieval of relevant information. The MeSH hierarchy includes descriptors for various categories including diseases, chemicals, drugs, anatomical parts, physiological functions, and procedures, among others.

"Subject Headings" is not a medical term per se, but rather a term used in the field of library science and information management. Subject headings are standardized terms or phrases used to describe the subject or content of a document, such as a book, article, or research paper, in a consistent and controlled way. They help organize and retrieve information by providing a uniform vocabulary for indexing and searching.

In the medical field, subject headings may be used in databases like PubMed, Medline, and CINAHL to categorize and search for medical literature. For example, the National Library of Medicine's MeSH (Medical Subject Headings) is a controlled vocabulary used for indexing and searching biomedical literature. It includes headings for various medical concepts, such as diseases, treatments, anatomical structures, and procedures, which can be used to search for relevant articles in PubMed and other databases.

Medline is not a medical condition or term, but rather a biomedical bibliographic database, which is a component of the U.S. National Library of Medicine (NLM)'s PubMed system. It contains citations and abstracts from scientific literature in the fields of life sciences, biomedicine, and clinical medicine, with a focus on articles published in peer-reviewed journals. Medline covers a wide range of topics, including research articles, reviews, clinical trials, and case reports. The database is updated daily and provides access to over 26 million references from the years 1946 to the present. It's an essential resource for healthcare professionals, researchers, and students in the biomedical field.

Abstracting and indexing are processes used in the field of information science to organize, summarize, and categorize published literature, making it easier for researchers and other interested individuals to find and access relevant information.

Abstracting involves creating a brief summary of a publication, typically no longer than a few hundred words, that captures its key points and findings. This summary is known as an abstract and provides readers with a quick overview of the publication's content, allowing them to determine whether it is worth reading in full.

Indexing, on the other hand, involves categorizing publications according to their subject matter, using a controlled vocabulary or set of keywords. This makes it easier for users to search for and find publications on specific topics, as they can simply look up the relevant keyword or subject heading in the index.

Together, abstracting and indexing are essential tools for managing the vast and growing amount of published literature in any given field. They help ensure that important research findings and other information are easily discoverable and accessible to those who need them, thereby facilitating the dissemination of knowledge and advancing scientific progress.

A library catalog is a comprehensive listing of all the resources and materials available in a library. It provides detailed information about each item, such as title, author, publication date, subject headings, and location in the library. The purpose of a library catalog is to help users locate specific items within the library's collection quickly and efficiently.

Traditionally, library catalogs were available in printed form, but with the advent of technology, most libraries now use online public access catalogs (OPACs) that allow users to search the catalog from anywhere with an internet connection. These digital catalogs often include additional features such as the ability to place holds on items, renew checked-out materials, and create personal lists of favorite titles or authors.

In addition to books, library catalogs may also include other types of materials such as audiovisual items (e.g., DVDs, CDs), periodicals (e.g., newspapers, magazines), electronic resources (e.g., e-books, databases), and special collections (e.g., rare books, manuscripts). By providing a detailed and accessible catalog of its holdings, a library can better serve the needs of its users and promote the discovery and use of its resources.

'Information Storage and Retrieval' in the context of medical informatics refers to the processes and systems used for the recording, storing, organizing, protecting, and retrieving electronic health information (e.g., patient records, clinical data, medical images) for various purposes such as diagnosis, treatment planning, research, and education. This may involve the use of electronic health record (EHR) systems, databases, data warehouses, and other digital technologies that enable healthcare providers to access and share accurate, up-to-date, and relevant information about a patient's health status, medical history, and care plan. The goal is to improve the quality, safety, efficiency, and coordination of healthcare delivery by providing timely and evidence-based information to support clinical decision-making and patient engagement.

PubMed is not a medical condition or term, but rather a biomedical literature search engine and database maintained by the National Center for Biotechnology Information (NCBI), a division of the U.S. National Library of Medicine (NLM). It provides access to life sciences literature, including journal articles in medicine, nursing, dentistry, veterinary medicine, health care systems, and preclinical sciences.

PubMed contains more than 30 million citations and abstracts from MEDLINE, life science journals, and online books. Many of the citations include links to full-text articles on publishers' websites or through NCBI's DocSumo service. Researchers, healthcare professionals, students, and the general public use PubMed to find relevant and reliable information in the biomedical literature for research, education, and patient care purposes.

'Abbreviations as Topic' in medical terms refers to the use and interpretation of abbreviated words or phrases that are commonly used in the field of medicine. These abbreviations can represent various concepts, such as medical conditions, treatments, procedures, diagnostic tests, and more.

Medical abbreviations are often used in clinical documentation, including patient records, progress notes, orders, and medication administration records. They help healthcare professionals communicate efficiently and effectively, reducing the need for lengthy descriptions and improving clarity in written communication.

However, medical abbreviations can also be a source of confusion and error if they are misinterpreted or used incorrectly. Therefore, it is essential to use standardized abbreviations that are widely recognized and accepted within the medical community. Additionally, healthcare professionals should always ensure that their use of abbreviations does not compromise patient safety or lead to misunderstandings in patient care.

Examples of commonly used medical abbreviations include:

* PT: Physical Therapy
* BP: Blood Pressure
* HR: Heart Rate
* Rx: Prescription
* NPO: Nothing by Mouth
* IV: Intravenous
* IM: Intramuscular
* COPD: Chronic Obstructive Pulmonary Disease
* MI: Myocardial Infarction (Heart Attack)
* Dx: Diagnosis

It is important to note that some medical abbreviations can have multiple meanings, and their interpretation may depend on the context in which they are used. Therefore, it is essential to use caution when interpreting medical abbreviations and seek clarification if necessary to ensure accurate communication and patient care.

MEDLARS (Medical Literature Analysis and Retrieval System) is a computerized system for searching, retrieving, and disseminating biomedical literature. It was developed by the United States National Library of Medicine (NLM) in the 1960s as a tool to help medical professionals quickly and efficiently search through large volumes of medical literature.

The MEDLARS system includes several databases, including MEDLINE, which contains citations and abstracts from biomedical journals published worldwide. The system uses a controlled vocabulary thesaurus called Medical Subject Headings (MeSH) to help users find relevant articles by searching for specific medical concepts and keywords.

MEDLARS was eventually replaced by the more advanced online database system known as PubMed, which is now widely used by healthcare professionals, researchers, and students to search for biomedical literature. However, the term "MEDLARS" is still sometimes used to refer to the older system or to describe the process of searching medical databases using controlled vocabulary terms.

"Terminology as a topic" in the context of medical education and practice refers to the study and use of specialized language and terms within the field of medicine. This includes understanding the meaning, origins, and appropriate usage of medical terminology in order to effectively communicate among healthcare professionals and with patients. It may also involve studying the evolution and cultural significance of medical terminology. The importance of "terminology as a topic" lies in promoting clear and accurate communication, which is essential for providing safe and effective patient care.

A controlled vocabulary in a medical context refers to a specific set of standardized terms and phrases that are used in clinical documentation and communication. These vocabularies are often created and maintained by professional organizations or governmental bodies to ensure consistency, accuracy, and interoperability in the sharing and retrieval of health information.

Controlled vocabularies can include terminologies such as Systematized Nomenclature of Medicine (SNOMED), International Classification of Diseases (ICD), Logical Observation Identifiers Names and Codes (LOINC), and RxNorm, among others. By using a controlled vocabulary, healthcare providers can more easily share and analyze health data, support clinical decision-making, and facilitate accurate coding and billing.

The Unified Medical Language System (UMLS) is a set of files and software developed by the U.S. National Library of Medicine (NLM). It provides a comprehensive source of biomedical and health-related terms aimed at unifying and standardizing the language used in various areas of the medical field, such as clinical care, research, and education.

The UMLS includes many different vocabularies, classifications, and coding systems, including but not limited to:

* Systematized Nomenclature of Medicine--Clinical Terms (SNOMED CT)
* International Classification of Diseases (ICD)
* Current Procedural Terminology (CPT)
* Logical Observation Identifiers Names and Codes (LOINC)

By integrating these various terminologies, the UMLS enables more effective searching, information retrieval, and data analysis across different systems and databases. It also supports natural language processing (NLP) applications, such as text mining and clinical decision support systems.

A bibliographic database is a type of database that contains records of publications, such as books, articles, and conference proceedings. These records typically include bibliographic information, such as the title, author, publication date, and source of the publication. Some bibliographic databases also include abstracts or summaries of the publications, and many provide links to the full text of the publications if they are available online.

Bibliographic databases are used in a variety of fields, including academia, medicine, and industry, to locate relevant publications on a particular topic. They can be searched using keywords, author names, and other criteria. Some bibliographic databases are general, covering a wide range of topics, while others are specialized and focus on a specific subject area.

In the medical field, bibliographic databases such as MEDLINE and PubMed are widely used to search for articles related to biomedical research, clinical practice, and public health. These databases contain records of articles from thousands of biomedical journals and can be searched using keywords, MeSH (Medical Subject Headings) terms, and other criteria.

Automatic Data Processing (ADP) is not a medical term, but a general business term that refers to the use of computers and software to automate and streamline administrative tasks and processes. In a medical context, ADP may be used in healthcare settings to manage electronic health records (EHRs), billing and coding, insurance claims processing, and other data-intensive tasks.

The goal of using ADP in healthcare is to improve efficiency, accuracy, and timeliness of administrative processes, while reducing costs and errors associated with manual data entry and management. By automating these tasks, healthcare providers can focus more on patient care and less on paperwork, ultimately improving the quality of care delivered to patients.

A "periodical" in the context of medicine typically refers to a type of publication that is issued regularly, such as on a monthly or quarterly basis. These publications include peer-reviewed journals, magazines, and newsletters that focus on medical research, education, and practice. They may contain original research articles, review articles, case reports, editorials, letters to the editor, and other types of content related to medical science and clinical practice.

As a "Topic," periodicals in medicine encompass various aspects such as their role in disseminating new knowledge, their impact on clinical decision-making, their quality control measures, and their ethical considerations. Medical periodicals serve as a crucial resource for healthcare professionals, researchers, students, and other stakeholders to stay updated on the latest developments in their field and to share their findings with others.

I'm sorry for any confusion, but "Natural Language Processing" (NLP) is actually a subfield of artificial intelligence that focuses on the interaction between computers and human language. It involves developing algorithms and software to understand, interpret, and generate human language in a valuable way.

In a medical context, NLP can be used to analyze electronic health records, clinical notes, and other forms of medical documentation to extract meaningful information, support clinical decision-making, and improve patient care. For example, NLP can help identify patients at risk for certain conditions, monitor treatment responses, and detect adverse drug events.

However, NLP is not a medical term or concept itself, so it doesn't have a specific medical definition.

Medical Informatics, also known as Healthcare Informatics, is the scientific discipline that deals with the systematic processing and analysis of data, information, and knowledge in healthcare and biomedicine. It involves the development and application of theories, methods, and tools to create, acquire, store, retrieve, share, use, and reuse health-related data and knowledge for clinical, educational, research, and administrative purposes. Medical Informatics encompasses various areas such as bioinformatics, clinical informatics, consumer health informatics, public health informatics, and translational bioinformatics. It aims to improve healthcare delivery, patient outcomes, and biomedical research through the effective use of information technology and data management strategies.

The study and recording of events in their order of occurrence, usually in relation to specific time periods. In the medical context, chronology is used to document a patient's medical history, including symptoms, diagnoses, treatments, and outcomes over time. This information can help healthcare providers understand the progression of a patient's condition, identify patterns or trends, and make informed decisions about their care.

A medical chronology may include various types of records, such as clinic notes, hospital discharge summaries, laboratory results, and imaging studies. It is important to maintain an accurate and up-to-date chronology to ensure continuity of care, support research and quality improvement initiatives, and facilitate communication among healthcare team members.

I'm sorry for any confusion, but "Internet" is a term that pertains to the global network of interconnected computers and servers that enable the transmission and reception of data via the internet protocol (IP). It is not a medical term and does not have a specific medical definition. If you have any questions related to medicine or health, I'd be happy to try to help answer them for you!

In the context of medical libraries and healthcare information management, "cataloging" refers to the process of creating a detailed and structured description of a medical resource or item, such as a book, journal article, video, or digital object. This description includes various elements, such as the title, author, publisher, publication date, subject headings, and other relevant metadata. The purpose of cataloging is to provide accurate and consistent descriptions of resources to facilitate their discovery, organization, management, and retrieval by users.

The American Library Association's (ALA) Committee on Cataloging: Description & Access (CC:DA) has established guidelines for cataloging medical resources using the Resource Description and Access (RDA) standard, which is a comprehensive and flexible framework for describing all types of library resources. The RDA standard provides a set of instructions and rules for creating catalog records that are consistent, interoperable, and accessible to users with different needs and preferences.

Medical cataloging involves several steps, including:

1. Analyzing the resource: This step involves examining the physical or digital object and identifying its essential components, such as the title, author, publisher, publication date, and format.
2. Assigning access points: Access points are the elements that users can search for in a catalog to find relevant resources. These include headings for authors, titles, subjects, and other characteristics of the resource. Medical catalogers use controlled vocabularies, such as the National Library of Medicine's MeSH (Medical Subject Headings) thesaurus, to ensure consistent and accurate subject headings.
3. Creating a bibliographic record: A bibliographic record is a structured description of the resource that includes all the relevant metadata elements. The format and content of the record depend on the cataloging standard used, such as RDA or MARC (Machine-Readable Cataloging).
4. Quality control and review: Before adding the record to the catalog, medical catalogers may perform various quality control checks to ensure accuracy and completeness. This step may involve comparing the record with other sources, checking for consistency with established policies and guidelines, and seeking input from subject matter experts or colleagues.
5. Contributing to shared catalogs: Medical libraries and institutions often contribute their catalog records to shared databases, such as the National Library of Medicine's PubMed Central or WorldCat, to increase visibility and accessibility. This step requires adherence to standardized formats and metadata schemes to ensure compatibility and interoperability with other systems.

In summary, medical cataloging is a complex process that involves various steps and standards to create accurate, consistent, and accessible descriptions of resources. By following established best practices and guidelines, medical catalogers can help users find and use the information they need for research, education, and patient care.

I'm sorry for any confusion, but "United States" is a geopolitical entity, specifically the name of the country consisting of 50 states, and it is not a medical term or concept. Therefore, I can't provide a medical definition for it. If you have any questions related to health, medicine, or biology, I would be happy to try to help answer those!

I am not aware of a widely accepted medical definition for the term "software," as it is more commonly used in the context of computer science and technology. Software refers to programs, data, and instructions that are used by computers to perform various tasks. It does not have direct relevance to medical fields such as anatomy, physiology, or clinical practice. If you have any questions related to medicine or healthcare, I would be happy to try to help with those instead!

An algorithm is not a medical term, but rather a concept from computer science and mathematics. In the context of medicine, algorithms are often used to describe step-by-step procedures for diagnosing or managing medical conditions. These procedures typically involve a series of rules or decision points that help healthcare professionals make informed decisions about patient care.

For example, an algorithm for diagnosing a particular type of heart disease might involve taking a patient's medical history, performing a physical exam, ordering certain diagnostic tests, and interpreting the results in a specific way. By following this algorithm, healthcare professionals can ensure that they are using a consistent and evidence-based approach to making a diagnosis.

Algorithms can also be used to guide treatment decisions. For instance, an algorithm for managing diabetes might involve setting target blood sugar levels, recommending certain medications or lifestyle changes based on the patient's individual needs, and monitoring the patient's response to treatment over time.

Overall, algorithms are valuable tools in medicine because they help standardize clinical decision-making and ensure that patients receive high-quality care based on the latest scientific evidence.

Medical libraries are collections of resources that provide access to information related to the medical and healthcare fields. They serve as a vital tool for medical professionals, students, researchers, and patients seeking reliable and accurate health information. Medical libraries can be physical buildings or digital platforms that contain various types of materials, including:

1. Books: Medical textbooks, reference books, and monographs that cover various topics related to medicine, anatomy, physiology, pharmacology, pathology, and clinical specialties.
2. Journals: Print and electronic peer-reviewed journals that publish the latest research findings, clinical trials, and evidence-based practices in medicine.
3. Databases: Online resources that allow users to search for and access information on specific topics, such as PubMed, MEDLINE, CINAHL, and Cochrane Library.
4. Multimedia resources: Audio and video materials, such as lectures, webinars, podcasts, and instructional videos, that provide visual and auditory learning experiences.
5. Electronic resources: E-books, databases, and other digital materials that can be accessed remotely through computers, tablets, or smartphones.
6. Patient education materials: Brochures, pamphlets, and other resources that help patients understand their health conditions, treatments, and self-care strategies.
7. Archives and special collections: Rare books, historical documents, manuscripts, and artifacts related to the history of medicine and healthcare.

Medical libraries may be found in hospitals, medical schools, research institutions, and other healthcare settings. They are staffed by trained librarians and information specialists who provide assistance with locating, accessing, and evaluating information resources. Medical libraries play a critical role in supporting evidence-based medicine, continuing education, and patient care.

Optic flow is not a medical term per se, but rather a term used in the field of visual perception and neuroscience. It refers to the pattern of motion of objects in the visual field that occurs as an observer moves through the environment. This pattern of motion is important for the perception of self-motion and the estimation of egocentric distance (the distance of objects in the environment relative to the observer). Optic flow has been studied in relation to various clinical populations, such as individuals with vestibular disorders or visual impairments, who may have difficulty processing optic flow information.

A factual database in the medical context is a collection of organized and structured data that contains verified and accurate information related to medicine, healthcare, or health sciences. These databases serve as reliable resources for various stakeholders, including healthcare professionals, researchers, students, and patients, to access evidence-based information for making informed decisions and enhancing knowledge.

Examples of factual medical databases include:

1. PubMed: A comprehensive database of biomedical literature maintained by the US National Library of Medicine (NLM). It contains citations and abstracts from life sciences journals, books, and conference proceedings.
2. MEDLINE: A subset of PubMed, MEDLINE focuses on high-quality, peer-reviewed articles related to biomedicine and health. It is the primary component of the NLM's database and serves as a critical resource for healthcare professionals and researchers worldwide.
3. Cochrane Library: A collection of systematic reviews and meta-analyses focused on evidence-based medicine. The library aims to provide unbiased, high-quality information to support clinical decision-making and improve patient outcomes.
4. OVID: A platform that offers access to various medical and healthcare databases, including MEDLINE, Embase, and PsycINFO. It facilitates the search and retrieval of relevant literature for researchers, clinicians, and students.
5. ClinicalTrials.gov: A registry and results database of publicly and privately supported clinical studies conducted around the world. The platform aims to increase transparency and accessibility of clinical trial data for healthcare professionals, researchers, and patients.
6. UpToDate: An evidence-based, physician-authored clinical decision support resource that provides information on diagnosis, treatment, and prevention of medical conditions. It serves as a point-of-care tool for healthcare professionals to make informed decisions and improve patient care.
7. TRIP Database: A search engine designed to facilitate evidence-based medicine by providing quick access to high-quality resources, including systematic reviews, clinical guidelines, and practice recommendations.
8. National Guideline Clearinghouse (NGC): A database of evidence-based clinical practice guidelines and related documents developed through a rigorous review process. The NGC aims to provide clinicians, healthcare providers, and policymakers with reliable guidance for patient care.
9. DrugBank: A comprehensive, freely accessible online database containing detailed information about drugs, their mechanisms, interactions, and targets. It serves as a valuable resource for researchers, healthcare professionals, and students in the field of pharmacology and drug discovery.
10. Genetic Testing Registry (GTR): A database that provides centralized information about genetic tests, test developers, laboratories offering tests, and clinical validity and utility of genetic tests. It serves as a resource for healthcare professionals, researchers, and patients to make informed decisions regarding genetic testing.

In the context of healthcare, an Information System (IS) is a set of components that work together to collect, process, store, and distribute health information. This can include hardware, software, data, people, and procedures that are used to create, process, and communicate information.

Healthcare IS support various functions within a healthcare organization, such as:

1. Clinical information systems: These systems support clinical workflows and decision-making by providing access to patient records, order entry, results reporting, and medication administration records.
2. Financial information systems: These systems manage financial transactions, including billing, claims processing, and revenue cycle management.
3. Administrative information systems: These systems support administrative functions, such as scheduling appointments, managing patient registration, and tracking patient flow.
4. Public health information systems: These systems collect, analyze, and disseminate public health data to support disease surveillance, outbreak investigation, and population health management.

Healthcare IS must comply with various regulations, including the Health Insurance Portability and Accountability Act (HIPAA), which governs the privacy and security of protected health information (PHI). Effective implementation and use of healthcare IS can improve patient care, reduce errors, and increase efficiency within healthcare organizations.

A chronic disease is a long-term medical condition that often progresses slowly over a period of years and requires ongoing management and care. These diseases are typically not fully curable, but symptoms can be managed to improve quality of life. Common chronic diseases include heart disease, stroke, cancer, diabetes, arthritis, and COPD (chronic obstructive pulmonary disease). They are often associated with advanced age, although they can also affect children and younger adults. Chronic diseases can have significant impacts on individuals' physical, emotional, and social well-being, as well as on healthcare systems and society at large.

Health promotion is the process of enabling people to increase control over their health and its determinants, and to improve their health. It moves beyond a focus on individual behavior change to include social and environmental interventions that can positively influence the health of individuals, communities, and populations. Health promotion involves engaging in a wide range of activities, such as advocacy, policy development, community organization, and education that aim to create supportive environments and personal skills that foster good health. It is based on principles of empowerment, participation, and social justice.

A medical definition of "Manuscripts as Topic" refers to the study and analysis of written documents that report original research or scholarly work in the field of medicine. This can include research articles, review articles, case reports, and other types of manuscripts that are submitted for publication in medical journals. The study of manuscripts as a topic may involve analyzing their content, structure, and quality, as well as evaluating the peer-review process and editorial policies of medical journals. Additionally, it can also cover the historical development of medical knowledge and practices through the examination of ancient and medieval medical manuscripts.

I'm sorry for any confusion, but "Library Materials" is not a term that has a specific medical definition. Generally, library materials refer to the various types of resources and media that are kept in a library for research, learning, or entertainment purposes. This can include books, magazines, newspapers, journals, manuscripts, maps, charts, prints, documents, microforms, electronic resources, films, videos, sound recordings, digital records, and other materials.

However, if you're looking for a definition related to medical libraries or healthcare, library materials might refer to resources specifically related to medicine, nursing, dentistry, public health, allied health professions, and related fields. These can include textbooks, reference books, journals, clinical guidelines, evidence reports, systematic reviews, patient education materials, and multimedia resources.

"Mental healing" is not a term that is widely used in modern medicine or psychiatry. However, it generally refers to the process of addressing and resolving psychological issues or emotional distress through non-pharmacological means, such as talk therapy, psychotherapy, or mindfulness practices.

In a broader sense, mental healing can also refer to the improvement of one's mental and emotional well-being through various holistic approaches, including self-care, stress management techniques, social support, and spiritual practices. These methods aim to help individuals develop coping skills, build resilience, and improve their overall quality of life.

It is important to note that while these approaches can be helpful in managing mental health symptoms, they should not replace evidence-based treatments for mental health conditions, such as medication or therapy with a licensed mental health professional.

Preventive health services refer to measures taken to prevent diseases or injuries rather than curing them or treating their symptoms. These services include screenings, vaccinations, and counseling aimed at preventing or identifying illnesses in their earliest stages. Examples of preventive health services include:

1. Screenings for various types of cancer (e.g., breast, cervical, colorectal)
2. Vaccinations against infectious diseases (e.g., influenza, pneumococcal pneumonia, human papillomavirus)
3. Counseling on lifestyle modifications to reduce the risk of chronic diseases (e.g., smoking cessation, diet and exercise counseling, alcohol misuse screening and intervention)
4. Screenings for cardiovascular disease risk factors (e.g., cholesterol levels, blood pressure, body mass index)
5. Screenings for mental health conditions (e.g., depression)
6. Preventive medications (e.g., aspirin for primary prevention of cardiovascular disease in certain individuals)

Preventive health services are an essential component of overall healthcare and play a critical role in improving health outcomes, reducing healthcare costs, and enhancing quality of life.

Public health is defined by the World Health Organization (WHO) as "the art and science of preventing disease, prolonging life and promoting human health through organized efforts of society." It focuses on improving the health and well-being of entire communities, populations, and societies, rather than individual patients. This is achieved through various strategies, including education, prevention, surveillance of diseases, and promotion of healthy behaviors and environments. Public health also addresses broader determinants of health, such as access to healthcare, housing, food, and income, which have a significant impact on the overall health of populations.

"Medical subject headings". Bull Med Libr Assoc. 51 (1): 114-6. ISSN 0025-7338. PMC 197951. PMID 13982385. "Medical Subject ... Medical Subject Headings, Biological databases, Library cataloging and classification, Medical classification, Thesauri, United ... Medical Subject Headings (MeSH) is a comprehensive controlled vocabulary for the purpose of indexing journal articles and books ... Wikidata has the property: MeSH descriptor ID (P486) (see uses) Medical Subject Heading Home provided by National Library of ...
However, additional resources such as Medical Subject Headings (MeSH) can also be used to evaluate sets of genes to make ... However, additional resources such as Medical Subject Headings (MeSH) can also be used to evaluate sets of genes to make ...
The medical descriptors that are part of a controlled vocabulary of about 19,000 terms used in MEDLINE and certain other United ...
Medical Subject Headings (MeSH) Medikuntzako Liburutegi Nazionalak sortutako terminologia kontrolatua da. Medical Subject ... "https://eu.wikipedia.org/w/index.php?title=Medical_Subject_Headings&oldid=9094247"(e)tik eskuratuta ...
Medical Subject HeadingsSubject HeadingsMEDLINEAbstracting and Indexing as TopicCatalogs, LibraryNational Library of Medicine ( ... Medical Subject HeadingsSubject HeadingsMEDLINEAbstracting and Indexing as TopicCatalogs, LibraryNational Library of Medicine ( ... The control is intended to avoid the scattering of related subjects under different headings (SUBJECT HEADINGS). The list may ... Medical Subject Headings. Controlled vocabulary thesaurus produced by the NATIONAL LIBRARY OF MEDICINE. It consists of sets of ...
Medical Subject Headings : Permuted. MeSH, permuted medical subject headings.. Medical subject headings: permuted ...
CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument ...
Medical Subject Headings (MeSH) RDF Linked Data. Operation / Service Description. Started at: 2022-08-06 18:02:17 UTC. Finished ...
Medical Subject Headings (MeSH) RDF Linked Data. Freshness / Last Updated. Started at: 2022-08-05 02:46:17 UTC. Finished at: ...
Predicting Medical Subject Headings Based on Abstract Similarity and Citations to MEDLINE Records. JCDL, 2016.. JCDL 2016. DBLP ... Predicting Medical Subject Headings Based on Abstract Similarity and Citations to MEDLINE Records}", year = 2016, }. ...
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Mapping the Life Science using Medical Subject Headings (MeSH). Shu*, F., Qiu, J., Larivière, V. Mapping the Life Science using ... Medical Subject Headings (MeSH). 17th International Conference on Scientometrics & Informetrics. September 2-5, 2019. 1927-1932 ...
Medical subject headings mesh quality of health care quality improvement. *Medical subject headings mesh radiology information ... Medical subject headings mesh patient outcome assessment. *Medical subject headings mesh patient protection and affordable care ... Medical subject headings mesh perioperative care. *Medical subject headings mesh personnel staffing and scheduling information ... Medical subject headings mesh pulmonary disease chronic obstructive. *Medical subject headings mesh quality assurance health ...
Medical subject headings mesh quality of health care quality improvement. *Medical subject headings mesh radiology information ... Medical subject headings mesh perioperative care. *Medical subject headings mesh personnel staffing and scheduling information ... Medical subject headings mesh pulmonary disease chronic obstructive. *Medical subject headings mesh quality assurance health ... Medical subject headings mesh reproductive and urinary physiological phenomena. *Medical subject headings mesh risk assessment ...
Methodology: Two search strategies-me based on the use of only Medical Subject Headings (MeSH), the second based on text-word ... Jenuwine, ES; Floyd, J Comparison of Medical Subject Headings and text-word searches in MEDLINE to retrieve studies on sleep ... Comparison of Medical Subject Headings and text-word searches in MEDLINE to retrieve studies on sleep in healthy individuals ( ... p.349-353 MEDICAL LIBRARY ASSOC, CHICAGO. Eugene Garfield garfield at CODEX.CIS.UPENN.EDU Tue Aug 10 17:36:20 EDT 2004 * ...
Medical Subject Headings 2023. Available online: https://meshb.nlm.nih.gov/search (accessed on 10 September 2022). ... Education by a medical doctor and dietitian; gluten-free diet leaflets. A diet containing gluten, with no additional dietary ... The validity of gluten-free diet in Hashimotos thyroiditis: Statement of the Expert Committee of the Section of Medical ... Effects of low-carbohydrate diet therapy in overweight subject with autoimmune thyroiditis: Possible synergism with ChREBP. ...
Subject Headings Medical Records ✖ Remove constraint Subject Headings: Medical Records Home ... Boys pre-camp medical examination form, Camp Co-op-a-gan on Perch Lake, ...
We used the following Medical Subject Headings (MeSH) search terms and keywords: "clinical trial," "evaluation," "assessment ... Decrease in number of days with use, mean daily usage, and an increase in day-to-day use variability in MCI subjects. ... Study description: design; number and type of subjects (number living alonea, if relevant) and setting; duration. Cognitive ... Study description: design; number and type of subjects (number living aloneb, if relevant) and setting; duration. Cognitive ...
Medical Subject Headings / statistics & numerical data * Molecular Targeted Therapy / statistics & numerical data ...
mesh-heading,. Medical Subject Headings (MeSH) associated with the topic. There may be more than one ,mesh-heading, associated ... The ,mesh-heading, tag has ,descriptor, element and id attribute:. *,descriptor, - Refers to the Medical Subject Heading ... id - Unique identification number for the Medical Subject Heading. Example: id=D015746. Use on MedlinePlus: Used for linking ... mesh-heading,. ,descriptor id=D015746,Abdominal Pain,/descriptor,. ,/mesh-heading,. ...
Medical subject headings (MeSH) thesaurus is a controlled and hierarchically organized vocabulary produced by NLM (National ... It is also called Medical Biostatistics/Medical Statistics. It is an important subject in medical, nursing, pharmacy, Bioallied ... Medical Education: Reorientation of Medical Education program training and finding knowledge among under graduate medical ... Reorientation of Medical Education program conducting in medical education is very much useful to Under Graduate Medical ...
Medical subject headings (MeSH) constitute one of the controlled vocabularies in UMLS; HuGE Navigator converts MeSH terms ... many other controlled vocabularies in the Unified Medical Language System (UMLS) have been developed for medical and biomedical ... To address this problem, HuGE Navigator uses Unified Medical Language System (UMLS) concept unique identifiers (CUIs) to index ... You will be subject to the destination websites privacy policy when you follow the link. ...
Provide up to 10 key words; use terms listed in the Medical Subject Headings from Index Medicus. ... Identify all variables and units of measure in either row or column headings. The unit identified in the column head must apply ... You will be subject to the destination websites privacy policy when you follow the link. ... Appendixes and supplemental files are subject to editing by PCD technical editors. ...
The search terms as designed for the MEDLINE database with medical subject headings (MeSH) and keyword searching are outlined ... first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link ... Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.10.2017. ...
Our searches of the peer-reviewed literature combined free text and Medical Subject Heading (MeSH) terms, such as "disparities ... Cultural competence education is mandated as part of medical licensure or continuing medical education requirements in New ... Cultural competence education is mandated as part of medical licensure or continuing medical education requirements in New ... distrust of the medical system, being of a different or the same race as ones medical provider, and health literacy (Eiser & ...
... as well as mapping each heading to Chinese Library Classification. This work is called Chinese Medical Subject Headings (CMeSH ... At the beginning of 1980s, with the development of Medical Subject Headings (MeSH) and its localization all over the world, we ... Moreover, we integrated Chinese Traditional Medicine and Materia Medica Subject Headings, and also expanded Chinese entry terms ... The Institute of Medical Information(IMI), Chinese Academy of Medical Sciences (CAMS), being a national research center of ...
Anonymous (2023), Altitude sickness (English). Medical Subject Headings. U.S. National Library of Medicine. ... This editable Main Article is under development and subject to a disclaimer. [edit intro] ...

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