2024
A general framework for developing computable clinical phenotype algorithms
Carrell D, Floyd J, Gruber S, Hazlehurst B, Heagerty P, Nelson J, Williamson B, Ball R. A general framework for developing computable clinical phenotype algorithms. Journal Of The American Medical Informatics Association 2024, 31: 1785-1796. PMID: 38748991, PMCID: PMC11258420, DOI: 10.1093/jamia/ocae121.Peer-Reviewed Original ResearchNatural language processing methodsStage of algorithm developmentElectronic health record dataLanguage processing methodsHealth record dataGold standard dataMachine learningDevelopment of computational algorithmsPhenotyping algorithmsAlgorithm developmentAlgorithmPractice guidelinesRecord dataAlgorithm development processComputational algorithmDevelopment processProcessing methodsDevelopment projectsStandard dataModel evaluationClinical medicineGuidelinesPractical guidanceInformaticsHealthcare
2023
The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era
Wen A, He H, Fu S, Liu S, Miller K, Wang L, Roberts K, Bedrick S, Hersh W, Liu H. The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era. Npj Digital Medicine 2023, 6: 132. PMID: 37479735, PMCID: PMC10362064, DOI: 10.1038/s41746-023-00878-9.Peer-Reviewed Original ResearchAlgorithm development processEase of adoptionDigital health applicationsSoftware applicationsPhenotyping tasksExample implementationInterested usersReusable toolsManual abstractionSuch tasksDevelopment processHealth applicationsDigital eraFoundational requirementCost requirementsTaskImplementationSilico meansFrameworkPotential solutionsRequirementsUsersDatasetAbstractionApplications
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