A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.

OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...

Abstract: Heart diseas remains major cause of death in world wide and early diagnosis is vital to effective clinical treatment. Models that are capable of capturing complex patterns in medical data ...