2023
Emergent Applications of Machine Learning for Diagnosing and Managing Appendicitis: A State-of-the-Art Review
Bhandarkar S, Tsutsumi A, Schneider E, Ong C, Paredes L, Brackett A, Ahuja V. Emergent Applications of Machine Learning for Diagnosing and Managing Appendicitis: A State-of-the-Art Review. Surgical Infections 2023, 25: 7-18. PMID: 38150507, DOI: 10.1089/sur.2023.201.Peer-Reviewed Original ResearchArtificial intelligence toolsNew artificial intelligence toolsArtificial neural networkSupport vector machineMachine learning-based toolLearning-based toolIntelligence toolsMachine learningUse casesNeural networkVector machineRandom forestAverage accuracyNovel solutionMachineEmergent applicationsAlgorithmOptimal modelQueriesHigh operator dependencyArt reviewAccuracyToolNetworkOperator dependency
2021
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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