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: | che jingjing |
| Institution: | shandong university |
| Department: | public health |
| Country: | |
| Proposed Analysis: | Purpose: Nowadays, Alzheimer’s disease becomes increasingly serious, threatening the physical and mental health of many people. We aim to construct a deep learning model, which can accurately identify the mild cognitive illness patients or Alzheimer’s patients from health people. Methods: We plan to use patients MRI from ADNI and recruit some patients with MCI and health controls. We will use 3 deep learning models to discriminate the three types, and choose the best one for further analysis. The deep learning models will be trained and tested by the dataset. Models’ performance will be evaluated by several performance measures, i.e. sensitivity and accuracy. Sensitivity measures the proportion of true positive correctly identified, whereas specificity refers to the proportion of true negative correctly identified. The accuracy of a classifier represents the overall proportion of correct classifications. |
| Additional Investigators |
