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

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

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

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 ...

Scientists are using machine learning to find new treatments among thousands of old medicines.

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.