Development and internal validation of machine learning models for identifying suicidal behavior in inpatients with mood disorders
BackgroundSuicidal behavior (SB) is a major concern in mood disorders. Models developed from retrospective records are vulnerable to ambiguous targets, data leakage, and inappropriate handling of class imbalance. We developed and internally validated a model to identify the risk of suicidal behavior in patients with mood disorders upon admission.MethodsThe dataset included 1, 099 inpatients with…
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