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

• المؤلف الرئيسي: Oei, Chien Wei
• مؤلفون آخرون: Ng Yin Kwee
• التنسيق: Thesis-Master by Research
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science; Medicine, Health and Life Sciences; Automated risk prediction; Artificial intelligence; Machine learning; Deep learning; Post-stroke adverse mental outcome
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/174230

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....