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 ...

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 ...

“A chronic disease prediction system based on a multi-task learning model comprises a computer memory, a computer processor and a computer program which is stored in the computer memory and ...

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

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 ...