In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

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.

Once adults reach age 65, the threshold age for the onset of Alzheimer's disease, the extent of their genetic risk may outweigh age as a predictor of whether they will develop the fatal brain disorder ...

In this study, we took advantage of a machine learning algorithm that can take into account clinical, pathologic, and molecular variables, as well as their interactions with each other, and developed ...

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.