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

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to ...

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

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

Scientists explore the utility of machine learning methods in the field of neurodegenerative disease diagnosis, prognosis, and treatment effect prediction.

Machine learning--a type of artificial intelligence used to detect patterns in data--is being rapidly developed in cardiovascular research and care to predict disease risk, incidence, and outcomes.

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

Researchers have identified a neurochemical signature that sets Parkinson's disease apart from essential tremor—two of the ...