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: | Eva Bus |
| Institution: | Vrije Universiteit Amsterdam |
| Department: | Cognitive Neuropsychology |
| Country: | |
| Proposed Analysis: | The aim of my project is to investigate predictors of development of Alzheimer’s Disease, using machine learning techniques. This paper strives to create a predictive model with two stages of prediction: the first stage using easy-access variables (e.g. demographics, biospecimen data and/or genetics) to determine who is at high risk, the second stage using MRI scans (in the high-risk group) to further improve prediction. Conditional research question: Can we predict development of Alzheimer’s Disease with a predictive model generated using machine learning techniques? |
| Additional Investigators | |
| Investigator's Name: | Ilja Cornelisz |
| Proposed Analysis: | The aim of my thesis is to investigate predictors of development of Alzheimer’s Disease, using machine learning techniques. This paper strives to create a predictive model with two stages of prediction: the first stage using easy-access variables (e.g. demographics, biospecimen data and/or genetics) to determine who is at high risk, the second stage using MRI scans (in the high-risk group) to further improve prediction. Conditional research question: Can we predict development of Alzheimer’s Disease with a predictive model generated using machine learning techniques? |
| Investigator's Name: | Chris van Klaveren |
| Proposed Analysis: | The aim of my thesis is to investigate predictors of development of Alzheimer’s Disease, using machine learning techniques. This paper strives to create a predictive model with two stages of prediction: the first stage using easy-access variables (e.g. demographics, biospecimen data and/or genetics) to determine who is at high risk, the second stage using MRI scans (in the high-risk group) to further improve prediction. Conditional research question: Can we predict development of Alzheimer’s Disease with a predictive model generated using machine learning techniques? |
