Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment

• المؤلفون الرئيسيون: Rykov, Yuri G., Patterson, Michael D., Gangwar, Bikram A., Jabar, Syaheed B., Leonardo, Jacklyn, Ng, Kok Pin, Kandiah, Nagaendran
• مؤلفون آخرون: Lee Kong Chian School of Medicine (LKCMedicine)
• التنسيق: مقال
• اللغة: English
• منشور في: 2024
• الموضوعات: Medicine, Health and Life Sciences; Digital physiological features; Digital biomarkers
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/174964
• المؤسسة: Nanyang Technological University

Background: Continuous assessment and remote monitoring of cognitive function in individuals with mild cognitive impairment (MCI) enables tracking therapeutic effects and modifying treatment to achieve better clinical outcomes. While standardized neuropsychological tests are inconvenient for this pu...