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

Abstract: Drivers need to stay focused on the road to respond quickly to unexpected situations. Fatigue is a significant factor in many traffic accidents. Therefore, it's important to have measures ...

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 ...

Abstract: Driver drowsiness is a major contributor to traffic accidents, emphasizing the need for reliable real-time detection and alert systems. This paper presents the development of a driver ...