Building an early warning model for the risk of suicide attempt in people with depression based on machine learning: a single-centre study
Background Attempted suicide is one of the most serious clinical consequences for patients with depression, and early identification of high-risk individuals is crucial for preventing suicide deaths. Traditional clinical assessment often relies on subjective judgment, lacking objective biological markers and multi-dime...