Explainable risk prediction of post-stroke adverse mental outcomes using machine learning techniques in a population of 1780 patients

• Main Authors: Oei, Chien Wei, Ng, Eddie Yin Kwee, Ng, Matthew Hok Shan, Tan, Ru-San, Chan, Yam Meng, Chan, Lai Gwen, Acharya, Udyavara Rajendra
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Mechanical engineering; Science::Medicine; Automated Risk Prediction; Post-Stroke Adverse Mental Outcome
• Online Access: https://hdl.handle.net/10356/173020
• Institution: Nanyang Technological University

Post-stroke depression and anxiety, collectively known as post-stroke adverse mental outcome (PSAMO) are common sequelae of stroke. About 30% of stroke survivors develop depression and about 20% develop anxiety. Stroke survivors with PSAMO have poorer health outcomes with higher mortality and greate...