Characterizing Chronic Pain Episodes in Clinical Text at Two Health Care Systems: Comprehensive Annotation and Corpus Analysis
Carlson L, Jeffery M, Fu S, He H, McCoy R, Wang Y, Hooten W, St Sauver J, Liu H, Fan J. Characterizing Chronic Pain Episodes in Clinical Text at Two Health Care Systems: Comprehensive Annotation and Corpus Analysis. JMIR Medical Informatics 2020, 8: e18659. PMID: 33108311, PMCID: PMC7704279, DOI: 10.2196/18659.Peer-Reviewed Original ResearchChronic painPain episodesSex-stratified random sampleChronic pain episodesChronic pain patientsChronic pain researchQuality of lifeHealth care systemUnstructured EHR dataLeg painOlmsted CountyMost patientsPain patientsBack painNonpharmacological treatmentsDiagnosis codesTreatment modalitiesCommon causePainStratified cohortMusculoskeletal issuesPain researchClinical practicePatientsDistinct patientsImpact of Diverse Data Sources on Computational Phenotyping
Wang L, Olson J, Bielinski S, St. Sauver J, Fu S, He H, Cicek M, Hathcock M, Cerhan J, Liu H. Impact of Diverse Data Sources on Computational Phenotyping. Frontiers In Genetics 2020, 11: 556. PMID: 32582289, PMCID: PMC7283539, DOI: 10.3389/fgene.2020.00556.Peer-Reviewed Original ResearchDiverse data sourcesElectronic health recordsComputational phenotypingData fragmentationPhenotyping algorithmData sourcesRochester Epidemiology ProjectPositive predictive valueSingle data sourceFalse negative rateRheumatoid arthritisEHR dataMultiple health care systemsHealth recordsMayo dataIncomplete dataType 2 diabetes mellitusAlgorithmPhenotype informationIntegrated sourceHealth care systemScientific discoveryT2DM controlDiabetes mellitusMedical records