Lynn Buckley, Margaret Curtin, Nicola Cornally, Katherine Harford, Louise Gibson
Exploring Undergraduate Medical Student Experiences of Training Within a Community-Based Paediatric Clinic
Medical science educator
older adults 65 years account disproportionately high proportion hospitalization inhospital mortality may avoidable although machine learning ml models already built validated predicting hospitalization mortality remains significant need optimise ml models accurately predicting hospitalization may tremendously impact clinical care older adults preventative measures implemented improve clinical outcomes patient retrospective cohort study dataset 14198 communitydwelling older adults 65 years complex care needs interresident assessment instrument database used develop optimise three ml models predict 30dayhospitalization models developed optimized random forest rf xgboost xgb logistic regression lr variable importance plots generated three models identify key predictors 30dayhospitalization area receiver operating characteristics curve rf xgb lr models 097 090 072 respectively variable importance plots identified drug burden index alcohol consumption important immediately potentially modifiable variables predicting 30dayhospitalization identifying immediately potentially modifiable risk factors drug burden index alcohol consumption high clinical relevance clinicians influence variables could proactively lower risk 30dayhospitalization ml holds promise improve clinical care older adults crucial models undergo extensive validation largescale clinical studies utilized clinical setting