Depressive Symptoms After Cardiac Surgery
The project aims to develop a predictive model for clinically significant depressive symptoms (CSDS) in patients undergoing coronary artery bypass graft (CABG) surgery using pre‑ and perioperative data. CSDS occur in about 30 % of CABG patients, which is four times higher than in the general population, and are linked to poor quality of life and increased morbidity and mortality. The model seeks to identify patients at risk so clinicians can make informed decisions and implement preventive measures.
The project aims to develop a predictive model for clinically significant depressive symptoms (CSDS) in patients undergoing coronary artery bypass graft (CABG) surgery using pre‑ and perioperative data. CSDS occur in about 30 % of CABG patients, which is four times higher than in the general population, and are linked to poor quality of life and increased morbidity and mortality. The model seeks to identify patients at risk so clinicians can make informed decisions and implement preventive measures.
Swiss AI can apply this predictive modeling approach to improve postoperative depression management in Swiss cardiac surgery patients.
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