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: | Evi Sijben |
Institution: | Radboud University |
Department: | Data Science |
Country: | |
Proposed Analysis: | This research is about taking into account the causal structure when applying interpetable machine learning approaches (to be specific; Shapley Values). Therefore, we want to show difference between results of the traditional methods and the new method proposed on a real-world data set. For applying this new method, it is required to have a sufficient understanding of the underlying causal structure of the data. |
Additional Investigators |