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: | Wang Yanchen |
| Institution: | the Capital University of Economic and Business |
| Department: | Statistics |
| Country: | |
| Proposed Analysis: | Alzheimer's disease is known as the seventh killer in the world, and its cure has always been a world problem. Because there are no effective drugs to cure Alzheimer's disease, we can only reduce the possibility of Alzheimer's disease through prevention. In this case, if we can accurately predict whether an individual will suffer from Alzheimer's disease in the future, we can take corresponding preventive measures, such as drug treatment, psychotherapy, etc., to reduce the possibility of suffering from Alzheimer's disease. Because the existing medical academic papers use more traditional prediction methods, such as support vector machine, neural network, and so on, and the prediction accuracy is poor, so this paper uses a relatively new data mining model: promotion decision tree fusion logic regression model to predict the disease. |
| Additional Investigators |
