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: | Pai-Ling Li |
Institution: | Tamkang University |
Department: | Staitsitcs |
Country: | |
Proposed Analysis: | We are working on a project (MOST 110-2118-M-032-003) "Classification of Functional Data via Subspace Projection with Considering Multiple Covariates". This project aims to develop a supervised classification method of functional data via subspace projection. The proposed method can be extended for classifying functional data or longitudinal data by considering additional multi-dimensional predictors. We plan to apply our methodology to analyze data from AIBL/ADNI/ADNIDOD. We hope the proposed methodology can provide a useful tool for predicting three stages (CN/SMC/MCI) for patients based on longitudinal collected biomarkers or image data. |
Additional Investigators |