Leveraging Machine Learning to Predict 30-Day Hospital Readmission After Cardiac Surgery
Sherman E, Alejo D, Wood-Doughty Z, Sussman M, Schena S, Ong CS, Etchill E, DiNatale J, Ahmidi N, Shpitser I, Whitman G. Leveraging Machine Learning to Predict 30-Day Hospital Readmission After Cardiac Surgery. The Annals Of Thoracic Surgery 2021, 114: 2173-2179. PMID: 34890575, DOI: 10.1016/j.athoracsur.2021.11.011.Peer-Reviewed Original ResearchConceptsElectronic medical record dataDays of dischargeMedical record dataHospital readmissionThoracic Surgeons Adult Cardiac Surgery DatabaseArt performanceAdult Cardiac Surgery DatabaseRecord dataCardiac Surgery DatabaseLength of stayRandom forest modelFlexible machineTest setMachinePreoperative comorbiditiesPostoperative complicationsAnalysis cohortCardiac surgeryPreoperative variablesSurgery DatabaseIntraoperative riskInpatient careReadmissionRisk scoreRehabilitation facility
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