Abstract: In the context of binary classification for breast cancer diagnosis, this paper offers a comparative statistical analysis of two popular classification techniques, Support Vector Machine ...
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.
Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...