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: | Jing Xu |
| Institution: | Xiamen University |
| Department: | School of Public Health |
| Country: | |
| Proposed Analysis: | This project will first systematically evaluate the risk factors of MCI, from a public health screening and practical perspective, select economically accessible factors, and classify them into different types of risk factor modules according to their attributes and ease of acquisition; further, Through a variety of traditional and machine learning methods, each category of factor modules are sequentially incorporated, and after evaluation and optimization, a robust and effective multi-level predictive model of MCI incidence risk suitable for population screening is obtained; finally, the elderly with different characteristics are constructed according to age and education level. A multi-level prediction model of MCI incidence risk, so as to effectively identify the high-risk population of MCI early, and provide a scientific basis for timely intervention and active prevention and control of AD |
| Additional Investigators |
