Utilization of Machine Learning to Model Important Features of 30-day Readmissions following Surgery for Metastatic Spinal Column Tumors: The Influence of Frailty
Elsamadicy A, Koo A, Reeves B, Cross J, Hersh A, Hengartner A, Karhade A, Pennington Z, Akinduro O, Lo S, Gokaslan Z, Shin J, Mendel E, Sciubba D. Utilization of Machine Learning to Model Important Features of 30-day Readmissions following Surgery for Metastatic Spinal Column Tumors: The Influence of Frailty. Global Spine Journal 2022, 14: 1227-1237. PMID: 36318478, PMCID: PMC11289550, DOI: 10.1177/21925682221138053.Peer-Reviewed Original ResearchHospital Frailty Risk ScoreSpinal column tumorsFrailty Risk ScoreInfluence of frailtySpinal column metastasesProportion of patientsRetrospective cohort studyNationwide Readmissions DatabaseRisk of readmissionMultivariate regression analysisIntermediate frailtyAdult patientsCohort studyIndependent predictorsSurgical interventionSpine surgeryReadmissionPatient readmissionRisk scorePatientsFrailtySurgeryCohortTumorsRegression analysis