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: | Chengyue Huang |
| Institution: | Renmin University of China |
| Department: | Statistics |
| Country: | |
| Proposed Analysis: | Electronic health records (EHRs) include rich information to support AI-driven healthcare. However, EHRs are noisy, incomplete and complex. Also, many approaches have been proposed to make full use of all the modalities in EHRs. So these apporaches may encounter the problem that some modalities are incomplete, which causes the decline in performance. Our goal is to solve the above problem by proposing new approaches in generating realistic synthetic patient records, based on real patient records. |
| Additional Investigators |
