There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Qianhui Li |
| Institution: | University College London |
| Department: | Department of Mechanical Engineering |
| Country: | |
| Proposed Analysis: | This analysis delves into the application of Python-based machine learning (ML) methods for studying Alzheimer's disease (AD) using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. The specific objectives include exploring suitable feature extraction techniques, introducing popular Python-based ML algorithms commonly used in AD research (e.g., SVM, random forests, deep learning), assessing their strengths and limitations for ADNI data analysis, and discussing ensemble methods and model stacking techniques to enhance performance and generalization. |
| Additional Investigators |
