
The study examined a broad spectrum of mental health conditions as potential predictors of cardiovascular risk, employing machine learning to identify the 15 most significant disorders linked to heart and brain outcomes.
A wide range of mental health conditions were considered as possible cardiovascular predictors, and machine learning was used to identify the 15 most important mental health disorder predictors of heart and brain outcomes
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