A deep neural network framework to derive interpretable decision rules for accurate traumatic brain injury identification of infants
Comparison of decision tree with common machine learning models for prediction of biguanide and sulfonylurea poisoning in the United States: an analysis of the National Poison Data System
In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study
Initial development of tools to identify child abuse and neglect in pediatric primary care
On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis