Identifying individuals at risk of post-stroke depression

Post-stroke depression's complex etiology involves sociodemographic, lifestyle, and clinical factors, notably age and gender. A random forest model effectively predicts PSD, highlighting the need for comprehensive assessment, early intervention, and management of modifiable risks (obesity, smoking, and inactivity) to improve stroke survivors' outcomes.