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

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

On the other hand, random forest and bagging tree regression models seem to have a good reputation among machine learning practitioners (most of my colleagues at least) because the models often work ...

Prognostic models for 12-months mortality were built using Cox regression model, single decision tree (DT) and random survival forest (RSF). Models performance was compared based on externally ...

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) ...

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

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