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Using Machine Learning to Predict Psychosis

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Self driving cars, human-like robots and robust medical technologies aren’t the only types of artificial intelligence that are making advances in people’s lives.

In the mental healthcare industry, clinicians and patients alike are benefitting from advances of machine learning that are making strides in diagnosing mental illness.

Current psychosis prediction models used by human clinicians are riddled with errors and gaps in knowledge. At present, only 22 percent of clinical high-risk patients are accurately predicted to develop psychosis.

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