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 ...

Abstract: Stroke is globally a major cause of mortality and morbidity, and hence, accurate risk assessment and diagnosis of stroke are valuable. Retinal fundus imaging reveals the known markers of ...

Abstract: Stroke continues to pose a significant challenge to global health, ranking among the top causes of death and long-term disability. Globally it is observed that stroke is one of the major ...