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

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

Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth of gut bacteria thought to be bad actors. But when researchers used a ...

Cardiovascular disease is the leading cause of death not only in the United States but globally, per the World Health ...

The use of machine learning models identified three distinct subtypes of Parkinson’s disease, which “could have immediate implications” in detecting clinical outcomes, researchers reported ...

Conclusion Our results show that machine learning models trained on tabular and graph data can enable objective, personalized, and reproducible prediction of relapse and, therefore, disease outcome in ...

The team then used this representation as input for other machine learning models that make specific predictions. In their study, the team first trained their autoencoder using ECGs and heart MRIs ...

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 ...