Harvard study predicts most suicide attempts a week in advance
Researchers at Harvard have developed a model that can forecast the majority of suicide attempts up to seven days before they occur. Using data from electronic health records and machine‑learning techniques, the system identifies risk patterns and alerts clinicians, aiming to enable earlier intervention. The study highlights potential for predictive analytics in mental‑health clinical care.