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Knowledge BasesExpert SystemsArtificial IntelligenceDrug Therapy, Computer-AssistedMedical Records, Problem-OrientedVocabulary, ControlledAnatomyKnowledgeInformation Storage and RetrievalDecision Support Systems, ClinicalDatabase Management SystemsUnified Medical Language SystemSystems IntegrationUser-Computer InterfaceTextbooks as TopicCrowdsourcingHealth Knowledge, Attitudes, PracticeBase PairingInternetDecision Making, Computer-AssistedDatabases, FactualSoftwareBase SequenceProgramming LanguagesSemanticsTerminology as TopicHypermediaData MiningDrug RepositioningNatural Language ProcessingDiagnosis, Computer-AssistedReference Books, MedicalInformation SystemsMEDLINEHealth Level SevenMedical Records Systems, ComputerizedDatabases as TopicPubMedSubject HeadingsAlgorithmsMicrocomputersComputational BiologyDatabases, ProteinAbstracting and Indexing as TopicElectronic Health RecordsPharmaceutical PreparationsDatabases, GeneticPharmacogeneticsComputer SystemsDecision Support TechniquesSoftware DesignMedical Order Entry SystemsHospital Information SystemsDocumentationComputer-Assisted InstructionMedical InformaticsDiseaseComputer GraphicsComputer Communication NetworksModels, AnatomicSkull BaseGenomicsOnline SystemsClinical CompetenceBase CompositionSchiff BasesPractice Guidelines as TopicInternal MedicineCurriculumUnited StatesMetabolic Networks and PathwaysEducational MeasurementPattern Recognition, AutomatedQuestionnairesOrganizational InnovationPatient Education as TopicModels, BiologicalEvaluation Studies as TopicResearchSystems BiologyGene Regulatory NetworksData CollectionPhenotypeComputer SimulationResearch DesignReproducibility of ResultsMolecular Sequence DataGenome, HumanProteomeProteomicsKnowledge ManagementProteinsModels, TheoreticalGene Expression ProfilingProgram Evaluation

3D medical volume reconstruction using web services. (65/335)

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An ontology-driven semantic mashup of gene and biological pathway information: application to the domain of nicotine dependence. (66/335)

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Mapping proteins to disease terminologies: from UniProt to MeSH. (67/335)

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Decomposition of indwelling EMG signals. (68/335)

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Use of the C4.5 machine learning algorithm to test a clinical guideline-based decision support system. (69/335)

Well-designed medical decision support system (DSS) have been shown to improve health care quality. However, before they can be used in real clinical situations, these systems must be extensively tested, to ensure that they conform to the clinical guidelines (CG) on which they are based. Existing methods cannot be used for the systematic testing of all possible test cases. We describe here a new exhaustive dynamic verification method. In this method, the DSS is considered to be a black box, and the Quinlan C4.5 algorithm is used to build a decision tree from an exhaustive set of DSS input vectors and outputs. This method was successfully used for the testing of a medical DSS relating to chronic diseases: the ASTI critiquing module for type 2 diabetes.  (+info)

DBD-Hunter: a knowledge-based method for the prediction of DNA-protein interactions. (70/335)

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An integrated approach to computer-based decision support at the point of care. (71/335)

Information needs that arise when clinicians use clinical information systems often go unresolved, forcing clinicians to defer decisions or make them with incomplete knowledge. My research characterizes these needs in order to build information systems that can help clinicians get timely answers to their questions. My colleagues and I have developed "Infobuttons", which are links between clinical information systems and on-line knowledge resources, and have developed an "Infobutton Manager" (IM) that attempts to determine the information need based on the context of what the user is doing. The IM presents users with a set of questions, each of which is a link to an online information resource that will answer the question. The Infobutton Manager has been successfully deployed in five systems at four institutions and provides users with over 1,000 accesses to on-line health information each month, with a positive impact on patient care.  (+info)

yOWL: an ontology-driven knowledge base for yeast biologists. (72/335)

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