Methods for systems logistic models. Medical search. Frequent questions

Multivariate ordinal logistic regression analysis was used to determine the most significant predictors of fatigue. (nih.gov)
The chi square, univariate and multivariate logistic regression models were used for data analysis. (biomedcentral.com)

Ordinal logistic regression analysis was conducted to determine relationships between demographic information, other ESAS items, and levels of fatigue. (nih.gov)
Two-level logistic regression analysis showed that age, treating department, and disease were determinants of inappropriate admission. (biomedcentral.com)
Logistic regression analysis was also performed to compare the results in classifying KOA patients with machine learning method. (e-arm.org)
In the classification between KOA patients and normal subjects, the accuracy of classification was higher in machine learning method than in logistic regression analysis. (e-arm.org)
The machine learning method is thought to be a new approach to complement conventional logistic regression analysis in the classification of KOA patients. (e-arm.org)

A multivariable logistic regression model was used to identify characteristics associated with heroin abuse or dependence. (cdc.gov)
Descriptive statistics, Fischer's exact test and multivariable logistic regression models were used for data analysis. (biomedcentral.com)

We use noise localization analyses to ascertain the operating conditions of equipment and systems. (fraunhofer.de)
We used methods to account for GPS biases, fractal analyses to determine perceived spatial scale, and discrete choice models and conditional logistic regression to assess resource selection prior to development (i.e., baseline data). (bioone.org)
We define putative regulators of commitment and probabilistic rules of transition through machine learning methods, and employ clustering and correlation analyses to interrogate gene regulatory interactions in multipotent cells. (lu.se)

Simulation and optimization methods are needed to design and operate large-scale, complex systems. (nist.gov)
This paper presents a model-driven approach to integrating simulation and optimization methods by exchanging formal system models and analysis abstractions between them, defined in SysML. (nist.gov)
This approach (model-driven system-analysis integration) is demonstrated by developing a multi-fidelity, multi-method simulation optimization methodology and applying it to a supply chain design case study. (nist.gov)
Member of the Latvian Simulation and Modelling Society, member of Latvian Transport Development and Education Association (LaTDEA), Expert of Latvian Council for Science in Engineering Field, programme committee member of International Multi-Conference Reliability and Statistics in Transportation and Communication (2017-2020), programme committee member of Conference on sustainable urban mobility (2016, 2018, 2020), Programme committee member, member of editorial board Transport and Telecommunication Journal. (tsi.lv)
simulation modelling, information systems, AI application. (tsi.lv)
2010 3rd International Conference on Computer Modeling and Simulation (ICCMS 2011) is the premier forum for the presentation of technological advances and research results in the fields of Computer Modeling and Simulation. (wikicfp.com)
ICCMS 2011 will bring together leading engineers and scientists in Computer Modeling and Simulation from around the world. (wikicfp.com)
Performs traditional NCA and simulation-based posterior predictive checks for a population PK model using NCA metrics. (ibcp.fr)
Bayesian and ML Emax model fitting, graphics and simulation for clinical dose response. (ibcp.fr)
Facilitates simulation from hierarchical, ordinary differential equation (ODE) based models typically employed in drug development. (ibcp.fr)
Methods for simulation from drug development hierarchical ordinary differential equations (ODE). (ibcp.fr)

Based on the National Health Interview Survey (NHIS) for the year 2010, a logistic regression model was run to assess the predictors of ER visits in elderly population. (cdc.gov)
CONCLUSIONS: These findings provide a baseline for assessing national-level disparities in social determinants of health between people with HIV and the total U.S. population, and it can be used as a model to assess local disparities. (cdc.gov)
We used multinomial logistic regression models to assess the relationship between 4 risk factor domains and tooth loss. (cdc.gov)

It is related to, but often distinguished from, probabilistic optimization methods such as chance-constrained optimization. (wikipedia.org)

Collecting patient reported outcome measures (PROMs) via computer-based electronic data capture system may improve feasibility and facilitate implementation in clinical care. (biomedcentral.com)

Using data from the Queensland Health EpiLog information system, descriptive analysis and logistic regression modelling were used to describe and model factors which influence patient outcomes (death, admission to intensive care unit and/or special care unit). (who.int)

Course familiarizes students with the organizational structure of the U.S. Government, U.S. Navy, Naval Supply Systems Command (NAVSUP), Defense Logistics Agency (DLA), and their relationship to Foreign Military Sales (FMS) processes. (navy.mil)
Such integrative methods may be applied to create comprehensive multi-scale representations of biomedical processes and pathological conditions, thus enabling their in-depth characterization. (stanford.edu)
Various industrial processes may also be modeled and optimized using OR. (databasefootball.com)

The association between guideline adherence and health outcomes was analysed using hierarchical linear and logistic regression models. (eur.nl)

METHODS: We conducted a case-control study enrolling participants who received molecular tests for mpox/orthopoxvirus in California from November 2022 through June 2023. (cdc.gov)

Cai H, Lam NSN, Zou L, Qiang Y (2018) Modeling the dynamics of community resilience to coastal hazards using a bayesian network. (springer.com)
The model suggests distinct dependencies of different commitment-associated genes on mRNA dynamics and promoter activity, which globally influence the probability of lineage commitment. (lu.se)

The research compares traditional analytics methods, like logistic regression and decision trees, to more advanced methods, like neural networks and ensemble modeling. (sas.com)
Logistics organizations can unlock the full potential of their data and gain a competitive edge by harnessing the power of technologies like AI, advanced analytics and quantum computing. (unisys.com)

Differences in adherence according to investigative methods are represented as a boxplot. (bvsalud.org)

Anselin L (1988) Spatial econometrics: methods and models. (springer.com)

FDA and CDC analyzed data from the National Survey on Drug Use and Health and National Vital Statistics System reported during 2002-2013. (cdc.gov)
The use of cyber-physical systems is making such relationships increasingly even more complex, though, and the huge amounts of data virtually unmanageable. (fraunhofer.de)
One of the most common methods for a statistical gene mapping of complex disorders is a population-based case-control association study, which ensures convenient data collection and promising test power 4 . (nature.com)
implementation of filtering algorithms on physical systems and collecting data from real systems. (atilim.edu.tr)
We developed a flexible model and interactive dashboard of capacity planning for whole-population RPM-based care for T1D.Data were gathered from a weekly RPM program for 277 paediatric patients with T1D at a paediatric academic medical centre. (stanford.edu)
Based on these metrics, an interactive model was designed to facilitate capacity planning and deployed as a dashboard.The primary population-level drivers of demand are the number of patients in the program, the rate at which patients enrol and graduate from the program, and the average frequency at which patients require a review of their data. (stanford.edu)
A passionate data scientist and zoological expert have partnered to develop a more accurate and less invasive method for identifying TB in elephants using neural networks, a type of machine learning . (sas.com)
New research from Sarah Harden, Systems Engineer at SAS, and Dr. Ramiro Isaza, Professor of Zoological Medicine at the University of Florida, analyzes 20 years of data on elephants in the US. (sas.com)
Students work with their country's real time data to demonstrate methods used to improve logistics support. (navy.mil)
The authors fitted logistic regression models to multiple-race data from the National Health Interview Survey (NHIS) for 1997-2000. (cdc.gov)
Many data systems do not currently allow multiple-race reporting. (cdc.gov)
When such data systems are used with Census counts to produce race-specific rates, bridging methods that incorporate geographic and demographic factors may lead to better rates than methods that do not consider such factors. (cdc.gov)
The PIMed Laboratory has a multi-disciplinary direction and focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion to facilitate radiology image labeling. (stanford.edu)
She continued her training at the University of Texas Health Science Center in Houston, where she received a Master of Science and PhD degree in Health Informatics for her work in biomolecular structural data integration of cryo-electron micrographs and X-ray crystallography models. (stanford.edu)
Dr. Mirabela Rusu focuses on developing analytic methods for biomedical data integration, with a particular interest in radiology-pathology fusion. (stanford.edu)
HOW can I use a data model to predict an outcome? (quizlet.com)
Different methods for extracting useful information from data are presented. (ha.ax)
Participants completed validated questionnaires programmed on an electronic data capture system (DADOS, Techna Inc., Toronto) on tablet computers. (biomedcentral.com)
Electronic data capture systems offer a sustainable and economical way for the routine assessment of PROMs. (biomedcentral.com)
To analyze PK data, there are three categories of packages within CRAN: noncompartmental analysis (NCA), modeling (typically using compartmental analysis), and reporting (typically for NCA). (ibcp.fr)
It targets summarizing data from model-fit or simulated sources. (ibcp.fr)
Modeling of PK data typically uses compartmental methods which assume that the drug enters the body either through an intravenous (IV) or extravascular (often oral or subcutaneous, SC) dose. (ibcp.fr)
Packages listed below are restricted to packages that have specific interest to PK modeling and not the (many) packages that support modeling that could be used for PK data. (ibcp.fr)
The use of methods such as linear programming, network flow, integer programming, non-linear programming, mixed integer linear (and non-linear) programming, among others, is a reality in the search for optimal solutions mainly when the amount of data is huge and complex [1-3]. (databasefootball.com)
Beyond the data silo: Logistics. (unisys.com)
By leveraging advanced technologies to overcome these data challenges, logistics organizations' systems can help unlock potential cost savings and revenue-boosting opportunities. (unisys.com)
Data lies at the heart of the logistics industry. (unisys.com)
As parcels and containers move from one point to the next, logistics operations generate vast amounts of data across multiple systems and platforms. (unisys.com)
However, the logistics sector often faces challenges in managing and leveraging data effectively. (unisys.com)
Data barriers result in longer shipping times, higher costs and unsatisfied customers - the antithesis of what logistics operations should be. (unisys.com)
To fully appreciate the data obstacles in logistics, it is essential to understand distinct types of data and their impact on operations. (unisys.com)
Dark data is typically generated within a logistic organization's operations through various sources, including customer interactions, daily operations, sensor data and transaction records. (unisys.com)
Unstructured data refers to information not adhering to a specific data model or format, including text documents, emails and images. (unisys.com)
Logistics operations generate a vast amount of unstructured data, including handwritten shipment notes, customer feedback from diverse channels and other fragmented pieces of information. (unisys.com)
Analyzing and extracting meaningful insights from unstructured data using traditional methods is challenging, making it difficult for organizations to derive meaningful insights. (unisys.com)
Structured data is organized and formatted data that can be easily stored, searched and analyzed, including data in databases, spreadsheets and well-defined data models. (unisys.com)
By leveraging advanced technologies, logistics organizations can put these three data types to good use. (unisys.com)
To unveil the hidden potential within dark data , organizations can integrate decision points at various stages of your operations, reinforcing your AI models with every interaction and learning opportunity. (unisys.com)
The present study was conducted retrospectively between 1993 and 2013 using recorded data from a comprehensive system for registration of suicide attempts in Ilam University of Medical Sciences. (biomedcentral.com)
Probability of commitment in time is a function of gene expression as defined by a logistic regression model obtained from experimental single-cell expression data. (lu.se)
Our approach should be applicable to similar differentiating systems where single cell data is available. (lu.se)
We analyzed Rhode Island's 2008 and 2010 Behavioral Risk Factor Surveillance System survey data in 2011. (cdc.gov)
These systems initially focused on notification data from public health units and laboratories. (who.int)
We present findings from a retrospective analysis of data collected by this new surveillance system. (who.int)

Parameter estimates differed between the NHIS models for the multiple-race groups. (cdc.gov)
Death rates calculated using bridging via the NHIS models were similar to those calculated using other methods, except for the American Indian/Alaska Native group, which included a large proportion of multiple-race reporters. (cdc.gov)

This model may facilitate the systematic design of RPM-based care programs. (stanford.edu)

Recently developed technologies and methods introduce the capability to create fine-scale, system-wide databases to quantitatively characterize salt marsh geomorphology in support of improved understanding of the evolution of intertidal systems. (bioone.org)

Formal abstractions are linked to specialized system models to specify corresponding analysis models and tool interfaces. (nist.gov)
The origins of robust optimization date back to the establishment of modern decision theory in the 1950s and the use of worst case analysis and Wald's maximin model as a tool for the treatment of severe uncertainty. (wikipedia.org)
Scale effects are pervasive in geospatial modeling and affect the reliability of analysis results. (springer.com)
The analysis shows that including variables representing the scale effects are critical for better performance in land loss modeling. (springer.com)
2015. Multicriteria and multiobjective models for risk, reliability and maintenance decision analysis. (scielo.br)
The recent focus of the lab has been on applying deep learning methods to detect and differentiate aggressive from indolent prostate cancers on MRI using the pathology information (both labels and the image content), work that was recently published in Medical Physics and Medical Image Analysis Journals. (stanford.edu)
Prior to joining Stanford, Dr. Rusu was a Lead Engineer and Medical Image Analysis Scientist at GE Global Research Niskayuna NY where she was involved in the development of analytic methods to characterize biological samples in microscopy images and pathologic conditions in MRI or CT. (stanford.edu)
Gait analysis systems can provide information on the biomechanical response of the human body to musculoskeletal disorders like KOA with non-invasive methods [ 6 ]. (e-arm.org)
Moments method in generalized functions theory and its applications to system analysis and control. (spbstu.ru)
The model was assessed by the area under the curve (AUC), calibration curve and decision curve analysis curve. (bvsalud.org)
This study investigates four types of untact services: online lectures, online meetings related to work and study, online seminars, and online performances, and the effects of concerns about untact services on the intention of use have been examined using a path analysis model. (bvsalud.org)

First-, second- and higher-order linear ordinary differential equations, system of differential equations, power series solution of differential equations, Laplace transforms, partial differential equations, numerical integration and derivation, numerical solution of differential equations. (atilim.edu.tr)

There are a number of classification criteria for robust optimization problems/models. (wikipedia.org)
To present new classification methods of knee osteoarthritis (KOA) using machine learning and compare its performance with conventional statistical methods as classification techniques using machine learning have recently been developed. (e-arm.org)
In the classification of KOA severity, accuracy was enhanced through the feature selection process in the machine learning method. (e-arm.org)
The most significant gait feature for classification was flexion and extension of the knee in the swing phase in the machine learning method. (e-arm.org)
Diagnosis of OC was performed in accordance with the International Classification System and cytological features. (bvsalud.org)

Adult women (aged ≥ 18 years) with a singleton pregnancy in the National Vital Statistics System (NVSS) 2020 were enrolled in this retrospective cohort study. (biomedcentral.com)
CONCLUSIONS: Despite that the predicted model was based on a retrospective study, it may also be helpful to predict the hospital morality of patients with solid cancer and sepsis. (bvsalud.org)

This paper examines the specific case of single-price balancing markets and derives risk-constrained strategies in a probabilistic framework, going beyond the trivial zero/max solution, which would have participants offer either zero or their maximum energy production based on a prediction of whether the system will be in net up- or down-regulation. (mdpi.com)
and between probabilistic and non-probabilistic models of robustness. (wikipedia.org)
Modern robust optimization deals primarily with non-probabilistic models of robustness that are worst case oriented and as such usually deploy Wald's maximin models. (wikipedia.org)

METHODS: To investigate the predictive indicators of ICG fluorescence characteristics in patients undergoing laparoscopic hepatectomy from January 2018 to January 2021 were included. (bvsalud.org)
We use a combined modeling approach guided by gene expression classifier methods that infers a time-series of stochastic commitment events from experimental growth characteristics and gene expression profiling of individual hematopoietic cells captured immediately before and after commitment. (lu.se)

Logistic regression models were utilized to investigate the association between ART, PIH, and adverse neonatal outcomes, expressed as odds ratio (OR) and 95% confidence interval (CI). (biomedcentral.com)
The distribution-of-the-product method was used to explore whether there was a mediating effect of PIH between ART and adverse neonatal outcomes, and the 95% CI of the distribution-of-the-product did not contain 0 indicating a mediating effect. (biomedcentral.com)

This study combines the use of 20-cm AIMS-1 multispectral imagery flown at spring high and low tides with a LIDAR-derived digital elevation mode (DEM) of a New England estuarine system to quantify relationships among marsh features, their metrics, elevations, and tidal datums. (bioone.org)

The search for fast, secure, and reliable solutions intensifies the use of computational tools to support the decision-making process and, in many cases, operational research (OR) methods play a fundamental role. (databasefootball.com)
In particular, to reduce the computational complexity of the process of selecting the optimal temperature difference and target low-pressure variables that can enhance energy efficiency, the algorithm employs the Monte Carlo method. (bvsalud.org)

As a self-learning robot system, the 'Smart Item Picking' system unveiled by Bosch Rexroth at HANNOVER MESSE 2022 automates manual, labor-intensive picking tasks in intralogistics. (hannovermesse.de)
At HANNOVER MESSE 2022, the company from Lower Franconia will be celebrating the premiere of its 'Smart Item Picking' robot system. (hannovermesse.de)

However, these methods implicitly assume that all subjects will eventually develop diseases. (nature.com)
Assists international customers develop a working knowledge of Department of Defense web-based logistics systems and FMS requisitioning procedures, and all aspects of the Security Cooperation Information Portal (SCIP). (navy.mil)
The study was to develop a model to predict hospital mortality of septic patients with cancer in intensive care unit (ICU). (bvsalud.org)
Against this background, we develop a Monte Carlo time-series stochastic model of transcription where the parameters governing promoter status, mRNA production and mRNA decay in multipotent cells are fitted to experimental static gene expression distributions. (lu.se)
Multiple logistic regression techniques were used to develop a model and identify the set of variables that may predict risk factors in HIV-infected adult patients with OC. (bvsalud.org)

Despite the serious threat of global warming caused by carbon emissions, commercial refrigeration systems that generate cooling are unable to adjust their usage time. (bvsalud.org)

Warehousing and Contract Logistics forms an important part of Supply Chain Networks. (managementstudyguide.com)
Often supply chain logistics calls for shipments and cargo to be warehoused at the point of origin or destination. (managementstudyguide.com)

has been chair or member of the organizing and the programme committees of the International Conference on Applied Statistics (6 events), Transportation Research (15 events), Complex Systems (4 events), etc. and reviewer in transportation journals and conference proceedings. (tsi.lv)

To this end, the system takes a completely model-free approach, so that it can even recognize and reliably pick objects that were previously unknown to it. (hannovermesse.de)

At the institution studied, the model identified a variety of practical operational approaches to better match the demand for patient care.We designed a generalizable, systematic model for capacity planning for a paediatric endocrinology clinic providing RPM for T1D. (stanford.edu)

This system with the two main parts and their groups makes it possible to combine two (or more) distinct searches into one search result, while being flexible in removing results from the final list. (diva-portal.org)
Project results show that it can provide nearly 90% right size recommendations, thus outperforming existing methods like age- or height-based size guides, which achieve 40 and 60% right recommendations respectively. (slideshare.net)
RESULTS: The model exhibited favourable discrimination (AUC: 0.726 (95% CI: 0.709 to 0.744) and 0.756 (95% CI: 0.712 to 0.801)) in the internal and external validation sets, respectively, and better calibration capacity than Acute Physiology and Chronic Health Evaluation IV in external validation. (bvsalud.org)

Recently developed refrigeration systems offer improved energy consumption efficiency, as they utilize inverter-type outdoor units that can communicate with indoor units. (bvsalud.org)

Therefore, we used an event-history with risk-free model to simultaneously characterize alcoholism susceptibility and onset age in 65 independent non-Hispanic Caucasian males in the Collaborative Study on the Genetics of Alcoholism. (nature.com)

Patients referred to the Rapid Response Radiotherapy Program between January 1999 and October 2009 completed the Edmonton Symptom Assessment System (ESAS) prior to consultation. (nih.gov)
Methods: In this cross-sectional study, we studied 363 T2DM patients in 32 general practices in 2011 and 2012. (eur.nl)
For example 53% of the practices had a system for collecting patient experience feedback, while 97% had a policy for no-show patients. (eur.nl)
We deployed this model as an interactive dashboard and used it to facilitate expansion of a novel care program (4 T Study) for newly diagnosed patients with T1D. (stanford.edu)
KOA patients were clustered into three groups according to the Kellgren-Lawrence (K-L) grading system. (e-arm.org)
AIM: To investigate the preoperative laboratory indexes corelated with ICG fluorescence staining effect and establish a novel laboratory scoring system to screen specifical patients who need ICG dose adjustment. (bvsalud.org)

Reduction of uncertainties and risks in the long-term planning of energy resources is the result of the multi-criterion ranking developed in, the model finds that the resources next to the demand side appear as lower fuel costs [9]. (databasefootball.com)

We conjointly find tenable responses and efficient approaches to logistics in your manufacturing operation. (fraunhofer.de)

A quantitative model to ensure capacity sufficient for timely access to care in a remote patient monitoring program. (stanford.edu)
operations research and quantitative methods. (informs.org)

The aim of this study was to investigate the epidemiological factors involved in the selection and use of different physical methods for suicide over a long-term period in Ilam province, Iran. (biomedcentral.com)

The study investigates options to support the reverse logistics for wholesalers in a company. (scielo.br)
Also, the FITradeoff method has been used to identify the alternatives that should compose the portfolio of options concerning the reverse logistics. (scielo.br)
For the study in question, two different methodologies have been applied to support the reverse logistics for wholesalers in a company. (scielo.br)

Solve the system of equations by the substitution method. (quizlet.com)

Therefore, it is essential to enhance the energy efficiency of refrigeration systems themselves. (bvsalud.org)
However, traditional legacy refrigeration systems still suffer from poor energy efficiency because the existing indoor units cannot communicate with inverter-type outdoor units. (bvsalud.org)
Hence, this paper introduces a heuristic energy efficiency improvement algorithm for commercial refrigeration systems using legacy indoor units when an inverter-type outdoor unit is installed. (bvsalud.org)

A laboratory risk model was established to identify individuals at high risk for high liver background fluorescence. (bvsalud.org)

According to Harden, the network models outperformed all other methods in identifying the likelihood of TB in individual elephants because this advanced method analyzes relational factors. (sas.com)
however, different factors may influence a person while selecting a particular method. (biomedcentral.com)

Diseases5

Chemicals and Drugs1

Analytical, Diagnostic and Therapeutic Techniques and Equipment44

Psychiatry and Psychology3

Phenomena and Processes14

Disciplines and Occupations2

Anthropology, Education, Sociology and Social Phenomena2

Technology, Industry, Agriculture1

Information Science8

Named Groups4

Health Care48

Geographicals6

Multivariate2

Regression analysis5

Multivariable2

Analyses3

Simulation11

Assess3

Optimization methods1

Feasibility1

Descriptive1

Processes3

Hierarchical1

20231

Dynamics2

Analytics2

Adherence1

Spatial1

Data44

NHIS2

Design1

Capability1

Analysis11

Ordinary different1

Classification5

Retrospective2

Probabilistic3

Characteristics2

Outcomes2

Metrics1

Computational2

20222

Develop5

Generate1

Supply chain2

Complex systems1

Approach1

Operational1

Results3

Utilize1

Characterize1

Patients6

Demand1

Approaches1

Quantitative2

Investigate1

Reverse3

Equations1

Efficiency3

Laboratory1

Factors2