grant
Statistical Methods for Addressing Disease Under-diagnosis Using Electronic Health Record Data
Organization UNIVERSITY OF PENNSYLVANIALocation PHILADELPHIA, UNITED STATESPosted 4 Sept 2024Deadline 31 Aug 2029
NIHUS FederalResearch GrantFY2025AddressAldosteronismClinicalCommunitiesComplexComputer Software ToolsComputer softwareDataDevelopmentDiagnosisDiseaseDisorderDisparitiesDisparityElectronic Health RecordEssential HypercholesterolemiaEthnic OriginEthnicityFamilial HypercholesterolemiaFeedbackGoalsHealth InsuranceHospitalsHyperaldosteronismHyperbetalipoproteinemiaHyperlipoproteinemia Type 2Hyperlipoproteinemia Type IIIndividualInsurance CoverageInsurance StatusLabelLaboratoriesMedicalMedicineMethodologyMethodsMissionModelingPatientsPhysiciansPopulationPreventative strategyPrevention strategyPreventive strategyProcessPropertyPublicationsRegression AnalysesRegression AnalysisRegression DiagnosticsResearch DesignRiskRisk AssessmentRisk EstimateScientific PublicationSoftwareSoftware ToolsStatistical MethodsStatistical RegressionStructureStudy TypeSubgroupSymptomsTestingType 2 HyperlipidemiaType II Hyperlipidemiaanalytical methodcomputer based predictiondevelopmentaldisease diagnosisdisease riskdisorder riskdisparity in caredisparity in health careelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordelectronic structurefamilial hyperbetalipoproteinemiafamilial hypercholesteremiafamilial hyperlipoproteinemia type 2familial hyperlipoproteinemia type IIfuture implementationhealth care disparityhealth care inequalityhealth care inequityhealth care settingshealth insurance planhigh dimensionalityimprovedinsightmachine learned algorithmmachine learning algorithmmachine learning based algorithmmachine learning based methodmachine learning methodmachine learning methodologiesmachine statistical learningnoveloperationoperationspatient health informationpatient health recordpatient medical recordpatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespredictive modelingpreventpreventingscreeningscreeningssexsoftware toolkitstatistic methodsstatistical and machine learningstudy designtreatment strategyuser friendly computer softwareuser friendly software
Description preview
Under-diagnosis occurs when an individual living with a disease condition has not
received a diagnosis. Reasons for under-diagnosis are often complex and context
specific, and the extent may vary across sensible population subgroups leading to
disparity in care. Electronic Health Records (EHRs) contain a wealth of health
information for patients,…
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