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Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis.

Benjamin I PerryR UpthegroveO CrawfordS JangE LauI McGillE CarverP B JonesG M Khandaker
Published in: Acta psychiatrica Scandinavica (2020)
Existing cardiometabolic risk prediction algorithms cannot be recommended for young people with or at risk of psychosis. Existing algorithms may underpredict risk in young people, even in the face of other high-risk features. Recalibration of existing algorithms or a new tailored algorithm for the population is required.
Keyphrases
  • machine learning
  • deep learning
  • smoking cessation