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) ...

Using machine learning to predict mortality in older patients with cancer: Decision tree and random forest analyses from the ELCAPA and ONCODAGE prospective cohorts.

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly complex consumer risk profiles, rising ...

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

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...