2022
Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records
Ho J, Staimez L, Narayan K, Ohno-Machado L, Simpson R, Hertzberg V. Evaluation of available risk scores to predict multiple cardiovascular complications for patients with type 2 diabetes mellitus using electronic health records. Computer Methods And Programs In Biomedicine Update 2022, 3: 100087. PMID: 37332899, PMCID: PMC10274317, DOI: 10.1016/j.cmpbup.2022.100087.Peer-Reviewed Original ResearchType 2 diabetes mellitusCardiovascular risk modelsElectronic health recordsDiabetes mellitusCardiovascular risk prediction modelsHealth recordsElectronic health record dataAvailable risk scoresMultiple cardiovascular complicationsType 2 diabetesHosmer-Lemeshow goodnessHealth record dataHosmer-Lemeshow statisticRisk prediction modelCardiovascular complicationsCardiovascular outcomesCardiovascular endpointsC-statisticRisk modelRisk scoreType 2PatientsSecondary analysisImpact of raceRecord data
2004
Prediction of mortality in an Indian intensive care unit
Nimgaonkar A, Karnad D, Sudarshan S, Ohno-Machado L, Kohane I. Prediction of mortality in an Indian intensive care unit. Intensive Care Medicine 2004, 30: 248-253. PMID: 14727015, DOI: 10.1007/s00134-003-2105-4.Peer-Reviewed Original ResearchConceptsNeural networkIndian data setAPACHE IIArtificial neural network modelBack-propagation algorithmNeural network modelAnalysis of informationDay 1 APACHE II scoreIndian Intensive Care UnitsNetwork modelAPACHE II equationAPACHE II systemAPACHE II scoreIntensive care unitRisk of deathPrediction of mortalityNetworkHosmer-Lemeshow statisticData setsLogistic regression modelsHospital outcomesII scoreCare unitUniversity HospitalConsecutive admissions