Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.
Saved in:
| Title: | Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning. |
|---|---|
| Authors: | Mieling M; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. m.mieling@uni-luebeck.de., Yousuf M; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany., Bunzeck N; Department of Psychology, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. nico.bunzeck@uni-luebeck.de.; Center of Brain, Behavior and Metabolism (CBBM), University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany. nico.bunzeck@uni-luebeck.de. |
| Corporate Authors: | Alzheimer’s Disease Neuroimaging Initiative |
| Source: | GeroScience [Geroscience] 2026 Feb; Vol. 48 (1), pp. 463-487. Date of Electronic Publication: 2025 Apr 26. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2509-2723 |
|---|---|
| DOI: | 10.1007/s11357-025-01626-5 |
