Predicting cardiovascular disease in patients with mental illness using machine learning.
Journal:
European psychiatry : the journal of the Association of European Psychiatrists
PMID:
39773769
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 incident CVD among patients with mental illness using routine clinical data from electronic health records.