Predicting cardiovascular disease in patients with mental illness using machine learning

Abstract Background Cardiovascular disease (CVD) is twice as prevalent among individuals with mental illness compared to the general population. Prevention strategies exist but require accurate risk prediction. This study aimed to develop and validate a machine learning model for predicting incide...

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Bibliographic Details
Main Authors: Martin Bernstorff, Lasse Hansen, Kevin Kris Warnakula Olesen, Andreas Aalkjær Danielsen, Søren Dinesen Østergaard
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:European Psychiatry
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Online Access:https://www.cambridge.org/core/product/identifier/S092493382500001X/type/journal_article
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