This fundamental (and quite reasonable) limitation of any machine learning technique is addressed by feature selection: choosing a good set of features upon which to build models.

A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

Ultimately, these techniques could make machine learning more accessible. Although automated machine learning has been around for almost a decade, researchers are still working to refine it.

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

Our findings suggest that integrating machine learning into traditional statistical methods can provide more accurate and generalizable models for disease risk prediction.