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: | Ying Qin |
| Institution: | RTI International |
| Department: | Bioinformatics |
| Country: | |
| Proposed Analysis: | In last decade, there is an increasing amount of research focusing on accuracy and efficiency of prediction models using machine-learning algorithms such as random forest (RF) and extreme gradient boosting (XGBoost) as compared to the conventional schemes in medical classification problems. However, not many researches have worked on correcting and eliminating algorithmic bias. I would like to access the ADNI dataset to understand if there is any ML fairness in AD prediction. |
| Additional Investigators |
