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MEDIUM | Machine Learning and Mental Health

Published: 30 August 2019

Neuroscientists and clinicians around the world are using machine learning to develop treatment plans for patients and to identify some of the key markers for mental health disorders before they may set in. One of the benefits is that machine learning helps clinicians predict who may be at risk of a particular disorder.

“Machine learning really meets a specific need that we have in psychiatry — and that’s the need for personalization,” he says. “For decades, we’ve been working on group averages and statistics that apply to populations who may have the same diagnosis but don’t translate as well to an individual patient. Machine learning allows us to get at individual predictions in a way we haven’t been able to before.”, says David Benrimoh, MD, CM, a psychiatry resident at McGill University.

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