A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
A retrospective study of 186 traumatic brain injury patients found that a model using four admission variables predicted ...
Researchers trained an interpretable XGBoost model on biomechanical data from 204 male athletes to predict peak ACL force ...
Using admission data, a machine learning model detected patients with acute coronary syndrome at high-risk for cardiogenic ...
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