Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.
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 ...
Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
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OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...
A machine learning algorithm predicts early-onset liver cancer in young adults better than traditional models.
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