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.

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 ...

A total of 1,471 MDS patients with comprehensively annotated clinical and molecular data were included in a training cohort and analyzed using machine learning techniques. A random survival algorithm ...

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.