Fayegh Yousefi, Mansor Abu Talib
Predictors of personality disorders in prisoners
Journal of medicine and life
preoperative prediction mortality femoral neck fracture patients aged 65 years may valuable treatment decisionmaking preoperative clinical prediction model aid surgeons patients shared decisionmaking process optimize care elderly femoral neck fracture patients study aimed develop internally validate clinical prediction model using machine learning ml algorithms 90 day 2 year mortality femoral neck fracture patients aged 65 years retrospective cohort study two trauma level centers three nonlevel community hospitals conducted identify patients undergoing surgical fixation femoral neck fracture five different ml algorithms developed internally validated assessed discrimination calibration brier score decision curve analysis total 2478 patients included 90 day 2 year mortality rates 91 n 225 235 n 582 respectively models included patient characteristics comorbidities laboratory values stochastic gradient boosting algorithm best performance 90 day mortality prediction good discrimination cstatistic 074 calibration intercept 005 slope 111 brier score 0078 elasticnet penalized logistic regression algorithm best performance 2 year mortality prediction good discrimination cstatistic 070 calibration intercept 003 slope 089 brier score 016 models incorporated freely available webbased application including individual patient explanations interpretation model understand reasoning model made certain prediction httpssorgappsshinyappsiohipfracturemortality conclusions clinical prediction models show promise estimating mortality prediction elderly femoral neck fracture patients external prospective validation models may improve surgeon ability faced treatment decisionmaking prognostic level ii