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 ...

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.

Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction. Scientific Reports, 2023; 13 (1) DOI: 10.1038/s41598-023-27551-1 ...

AI machine learning models for predicting Alzheimer’s were developed using International Classification of Diseases Tenth Revision (ICD-10) codes from electronic health records (EHRs) and ...

A new study used data from the National COVID Cohort Collaborative Data Enclave, the largest patient dataset in the US. It identified risk factors for severe COVID-19.