Automated risk prediction of post-stroke adverse mental outcomes using artificial intelligence and machine learning

• Main Author: Oei, Chien Wei
• Other Authors: Ng Yin Kwee
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Medicine, Health and Life Sciences; Automated risk prediction; Artificial intelligence; Machine learning; Deep learning; Post-stroke adverse mental outcome
• Online Access: https://hdl.handle.net/10356/174230
• Institution: Nanyang Technological University

Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stroke survivors develop depression, and about 20% develop anxiety. Stroke survivors with such adverse mental outcomes are often attributed to poorer health outcomes, such as higher mortality rates....