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

Using a cohort of more than 33,000 Chinese patients, investigators comprehensively analyzed urinary stone composition.

Researchers at Northeastern University can predict the emergence of a dengue fever outbreak with 80% accuracy—a breakthrough for public health officials tasked with preparing careworkers to handle ...

Dr. Shipra Arya, Stanford vascular surgeon, receives $300,000 AHA award to develop an automated deep learning–based ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

This breakthrough system will transform the detection and prediction of coronary artery disease (CAD) through advanced machine learning technology.

Scientists discuss a machine learning-based tool that can detect Parkinson's disease years before the first onset of symptoms.