A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Examination of post-radiation survey data from the navigator-assisted hypofractionation (NAVAH) phase I trial in African-American prostate cancer patients. Multivariable logistic regression analysis ...
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