Journal article
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
- Abstract:
- Identifying accurate biomarkers of cognitive decline is essential for advancing early diagnosis and prevention therapies in Alzheimer's disease. The Alzheimer's disease DREAM Challenge was designed as a computational crowdsourced project to benchmark the current state-of-the-art in predicting cognitive outcomes in Alzheimer's disease based on high dimensional, publicly available genetic and structural imaging data. This meta-analysis failed to identify a meaningful predictor developed from either data modality, suggesting that alternate approaches should be considered for prediction of cognitive performance.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.6MB, Terms of use)
-
- Publisher copy:
- 10.1016/j.jalz.2016.02.006
Authors
- Publisher:
- Elsevier
- Journal:
- Alzheimer's & Dementia More from this journal
- Volume:
- 12
- Issue:
- 6
- Pages:
- 645-653
- Publication date:
- 2016-04-11
- DOI:
- EISSN:
-
1552-5279
- ISSN:
-
1552-5260
- Pmid:
-
27079753
- Language:
-
English
- Keywords:
- Pubs id:
-
pubs:616695
- UUID:
-
uuid:22351104-8cc2-424b-bf56-4fb9db6362a3
- Local pid:
-
pubs:616695
- Source identifiers:
-
616695
- Deposit date:
-
2017-07-24
Terms of use
- Copyright holder:
- © 2016 Allen, et al
- Copyright date:
- 2016
- Notes:
-
This is an open access article under the CC BY-NC-ND
license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
If you are the owner of this record, you can report an update to it here: Report update to this record