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
2014
Assisted annotation of medical free text using RapTAT
Gobbel G, Garvin J, Reeves R, Cronin R, Heavirland J, Williams J, Weaver A, Jayaramaraja S, Giuse D, Speroff T, Brown S, Xu H, Matheny M. Assisted annotation of medical free text using RapTAT. Journal Of The American Medical Informatics Association 2014, 21: 833-841. PMID: 24431336, PMCID: PMC4147611, DOI: 10.1136/amiajnl-2013-002255.Peer-Reviewed Original Research