Machine Learning Spots Hidden Substance Use Disorders in Routine Health Records
A Stanford-led team trained supervised machine learning models on nationally representative EHR-like survey data to identify people with untreated alcohol, ...
A Stanford-led team trained supervised machine learning models on nationally representative EHR-like survey data to identify people with untreated alcohol, ...
In a groundbreaking study published in the Journal of General Internal Medicine, researchers have shed new light on the intersection ...
In a groundbreaking study poised to deepen our understanding of addiction neuroscience, researchers have uncovered how alcohol-related cues dramatically alter ...
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© 2025 Scienmag - Science Magazine