Allen, GI;
Amoroso, N;
Anghel, C;
Balagurusamy, V;
Bare, CJ;
Beaton, D;
Bellotti, R;
... Zhu, S; + view all
(2016)
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease.
Alzheimer's & Dementia
, 12
(6)
pp. 645-653.
10.1016/j.jalz.2016.02.006.
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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.
| Type: | Article |
|---|---|
| Title: | Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.jalz.2016.02.006 |
| Publisher version: | http://dx.doi.org/10.1016/j.jalz.2016.02.006 |
| Language: | English |
| Additional information: | © 2016 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer's Association under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International license (CC BY-NC-ND 4.0). This license allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licenses are available at http://creativecommons.org/ licenses/by/4.0. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Clinical Neurology, Neurosciences & Neurology, Azheimer's disease, Biomarkers, Crowdsource, Big data, Bioinformatics, Cognitive decline, Imaging, Genetics, GENOME-WIDE ASSOCIATION, RISK PREDICTION, IMPAIRMENT, BIOMARKERS, DEMENTIA, PATTERNS, ATROPHY, PROJECT, HEALTH, MEMORY |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1503917 |
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