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: | Farshid Hajati |
| Institution: | Victoria University |
| Department: | College of Engineering and Science |
| Country: | |
| Proposed Analysis: | The primary objective of this research is to develop a predictive model for early detection of Alzheimer's disease. Feature selection techniques will be used to identify the most relevant features for predicting Alzheimer's disease. The machine learning algorithms that will be evaluated include logistic regression, decision trees, random forests, support vector machines, and deep neural networks. The performance of the algorithms will be evaluated using standard metrics, such as accuracy, precision, recall, and F1-score. |
| Additional Investigators |
