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: | Yu-An Chen |
| Institution: | National Yang-Ming University |
| Department: | Public Health |
| Country: | |
| Proposed Analysis: | We plan to develop a multidomain, point-based, risk prediction tool to stratify patients into high and low risk groups for conversion from Subjective cognitive decline (SCD) or mild cognitive impairment (MCI) to AD. First, we aim to extract features from multimodal data. The relationships between features and patient characteristics (e.g., gender) will then examine. Second, we plan to use scores on these features as predictor in the model to make personalized predictions. Third, we will construct personalized risk prediction models to identify individuals at high or low risk of conversion form SCD or MCI to AD. |
| Additional Investigators |
