… the accuracy of performance predictions in … brain injuries (ie, traumatic brain injury and
cerebrovascular disorders) and 22 patients with orthopedic disorders. Prediction of performance …

… To quantitatively summarize the prediction performance of ML models, we extracted
discrimination and calibration measures. The discriminative ability quantified the capacity of the …

… as traumatic brain injury (TBI). … predictive value=proportion of patients with the predictor that
have the outcome. Negative predictive value=proportion of patients without the predictor that …

… prediction performance. In a wider sense, ML can provide tools for the development of
high-performing disease outcome prediction … to evaluate the predictive performance of different …

… the prediction of early and late recovery from traumatic brain injury (TBI). Predictors ofthe
duration of coma and the utilization of posttraumatic amnesia duration to predict residual …

Objectives: Prognosis of outcome after traumatic brain injury (TBI) is important in the assessment
of quality of care and can help improve treatment and outcome. The aim of this study …

… see if brain injury leads to a change in the number or type of instructions patients predict they
… In a practice, predicting accuracy of future recall accurately in the real world is difficult in the …

… the best performance for predicting clinical outcomes, but an AUC equal to 0.76 was not a
good performance.13 In the face of this gap, we aimed to evaluate the predictive performance …

… performance for in-hospital poor outcome prediction and ridge regression for in-hospital
mortality prediction… Our results indicate the relatively good predictive performance of modern ML …

… We sought to assess the influence of age on predictive performance, sensitivity, and
negative predictive value (NPV) of serum UCH-L1 and GFAP to predict intracranial injury by CT. …