Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Cédric Beaulac, Jeffrey S. Rosenthal, Predicting University Students' Academic Success and Major Using Random Forests, Research in Higher Education, Vol. 60, No. 7 (NOVEMBER 2019), pp. 1048-1064 ...

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

Recent scientific article explores the use of machine learning techniques to identify the key risk factors associated with ...

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly ...

New research is shaking up how we think about evolution, suggesting there's a level of predictability influenced by genes and ...