2018
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set
Rasmy L, Wu Y, Wang N, Geng X, Zheng W, Wang F, Wu H, Xu H, Zhi D. A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set. Journal Of Biomedical Informatics 2018, 84: 11-16. PMID: 29908902, PMCID: PMC6076336, DOI: 10.1016/j.jbi.2018.06.011.Peer-Reviewed Original ResearchConceptsRecurrent neural networkOnset riskCapability of RNNCerner Health FactsHeterogeneous EHR dataHeart failure patientsData setsElectronic health record dataDeep learning modelsDifferent patient populationsNeural network-based predictive modelDifferent patient groupsHealth record dataEHR data setsPredictive modelingSmall data setsFailure patientsPatient groupPatient populationReduction of AUCNeural networkRNN modelRETAIN modelHealth FactsHospital
2015
Effects of Health Insurance on Tumor Stage, Treatment, and Survival in Large Cohorts of Patients with Breast and Colorectal Cancer
Zhang Y, Franzini L, Chan W, Xu H, Du X. Effects of Health Insurance on Tumor Stage, Treatment, and Survival in Large Cohorts of Patients with Breast and Colorectal Cancer. Journal Of Health Care For The Poor And Underserved 2015, 26: 1336-1358. PMID: 26548682, DOI: 10.1353/hpu.2015.0119.Peer-Reviewed Original ResearchConceptsRisk of mortalityColorectal cancerTumor stagePrivate health insuranceCancer patientsHealth insuranceCancer-directed surgeryColorectal cancer patientsTexas Cancer RegistryInsurance coverageAdditional private health insuranceBreast cancer patientsHealth insurance statusHealth insurance coverageOverall survivalCancer RegistryInsurance statusBreast cancerLarge cohortHigh riskMedicare beneficiariesPatientsCancerChemotherapySurgery
2012
Predicting warfarin dosage in EuropeanAmericans and AfricanAmericans using DNA samples linked to an electronic health record
Ramirez A, Shi Y, Schildcrout J, Delaney J, Xu H, Oetjens M, Zuvich R, Basford M, Bowton E, Jiang M, Speltz P, Zink R, Cowan J, Pulley J, Ritchie M, Masys D, Roden D, Crawford D, Denny J. Predicting warfarin dosage in EuropeanAmericans and AfricanAmericans using DNA samples linked to an electronic health record. Pharmacogenomics 2012, 13: 407-418. PMID: 22329724, PMCID: PMC3361510, DOI: 10.2217/pgs.11.164.Peer-Reviewed Original ResearchAdultAgedAged, 80 and overAnticoagulantsAryl Hydrocarbon HydroxylasesBlack or African AmericanCalcium-Binding ProteinsCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Dose-Response Relationship, DrugDrug Administration ScheduleElectronic Health RecordsFemaleHumansMaleMiddle AgedMixed Function OxygenasesPolymorphism, Single NucleotideSubstance-Related DisordersVitamin K Epoxide ReductasesWarfarinWhite People