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: | S. M. Shafkat Raihan |
| Institution: | University of Chittagong |
| Department: | Computer Science and Engineering |
| Country: | |
| Proposed Analysis: | We want to investigate the performance of Belief Rule Based Expert System on biomarker data of Alzheimer's patients to facilitate artificial intelligence based investigation. We will also investigate the performance of gradient free nature inspired optimization algorithms for learning key parameters helpful for diagnosis. |
| Additional Investigators | |
| Investigator's Name: | Angel Shorma |
| Proposed Analysis: | Investigating the performance of Belief Rule Based Expert System(BRBES) and nature inspired optimization algorithms on Alzheimer's biomarker dataset for artificial intelligence based diagnosis of the disease. |
| Investigator's Name: | Raihan Ul Islam |
| Proposed Analysis: | Investigating the performance of Belief Rule Based Expert System(BRBES) and nature inspired optimization algorithms on Alzheimer's biomarker dataset for artificial intelligence based diagnosis of the disease. |
| Investigator's Name: | Mohammad Shahadat Hossain |
| Proposed Analysis: | Investigating the performance of Belief Rule Based Expert System(BRBES) and nature inspired optimization algorithms on Alzheimer's biomarker dataset for artificial intelligence based diagnosis of the disease. |
| Investigator's Name: | Karl Andersson |
| Proposed Analysis: | Investigating the performance of Belief Rule Based Expert System(BRBES) and nature inspired optimization algorithms on Alzheimer's biomarker dataset for artificial intelligence based diagnosis of the disease. |
