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: | Donal McLaughlin |
| Institution: | University College London |
| Department: | Physics and Astronomy |
| Country: | |
| Proposed Analysis: | Group disease progression modelling project (at UCL Data Intensive Science CDT) on identifying the importance of different biomarkers for the diagnosis and progression of Alzheimer disease. We will explore the usability of different temporal/ sequential ML methods for this purpose. The methods are: Hidden Markov Models, Conditional Random Fields and Recurrent Neural Networks, Markov point processes. |
| Additional Investigators | |
| Investigator's Name: | Max Hipperson |
| Proposed Analysis: | Research project on identifying the importance of different biomarkers for the diagnosis and progression of Alzheimer disease. We will explore the usability of different temporal/ sequential ML methods for this purpose. The methods are: Hidden Markov Models, Conditional Random Fields and Recurrent Neural Networks, Markov point processes. |
| Investigator's Name: | Samuel Wright |
| Proposed Analysis: | Research project on identifying the importance of different biomarkers for the diagnosis and progression of Alzheimer disease. We will explore the usability of different temporal/ sequential ML methods for this purpose. The methods are: Hidden Markov Models, Conditional Random Fields and Recurrent Neural Networks, Markov point processes. |
