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.

We used supervised machine learning approaches across 3 predictive tasks (Figure 1). Model features (chronic conditions) were determined using a priori clinical knowledge and preprocessed differently ...

Researchers have identified a neurochemical signature that sets Parkinson's disease apart from essential tremor—two of the ...