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: | Abduelhakem Shubar |
| Institution: | Multimedia University |
| Department: | Faculty of Computing and Informatics |
| Country: | |
| Proposed Analysis: | The objective of the research is to develop a powerful machine learning model that predicts dementia-related disorders in the early stages and to use this model to build a dementia management system. At the end of our research work, we are aiming to deliver a dementia prediction and management system using machine learning technology. The system can be used by doctors to assist them with dementia diagnosis at very early stages. The system will be accessible by the end-users to frequently analyze their demographic, clinical and lifestyle data and provide them with dementia prevention and management plans. The system is expected to increase the accuracy of dementia diagnosis, reduce or eliminate diagnostic errors and reduce the cost of dementia care. Besides, it will increase dementia awareness and improve lifestyle. The system will positively contribute to both the medical sector and society |
| Additional Investigators | |
| Investigator's Name: | Kannan Ramakrishnan |
| Proposed Analysis: | The objective of the research is to develop a powerful machine learning model that predicts dementia-related disorders in the early stages and to use this model to build a dementia management system. At the end of our research work, we are aiming to deliver a dementia prediction and management system using machine learning technology. The system can be used by doctors to assist them with dementia diagnosis at very early stages. The system will be accessible by the end-users to frequently analyze their demographic, clinical and lifestyle data and provide them with dementia prevention and management plans. The system is expected to increase the accuracy of dementia diagnosis, reduce or eliminate diagnostic errors and reduce the cost of dementia care. Besides, it will increase dementia awareness and improve lifestyle. The system will positively contribute to both the medical sector and society |
