APS
31st APS Annual Convention · 2019
Cognitive Profiling in Alzheimer’s Disease and Clinical Utility Compared to Structural MRI Imaging Based on Machine Learning Approach
Session: Poster Session X
Authors
- Hyunwoong KoPresenting Author
Seoul National University - Hyunwoong KoPresenting Author
Seoul National University - Taehyeong Kim
Seoul National University - Jung-Joon Ihm
Seoul National University - Hong-Gee Kim
Seoul National University - Hong-Gee Kim
Seoul National University
Abstract
β–Amyloid(Aβ) is a core neuropathology in AD. In this work, we identified the cognitive function related to abnormal level of Aβ using various machine learning algorithm compared to MRI in a cost-effective way. The results suggest that neuropsychological marker with demographics would be useful in clinical setting.
Neuropsychology