Allen G.I.Amoroso N.Anghel C.Balagurusamy V.Bare C.J.Beaton D.Bellotti R.Bennett D.A.Boehme K.L.Boutros P.C.Caberlotto L.Xu J.CHIEN-YU CHENZhan X.Zhou Y.Zhu F.Zhu H.Zhu S.Chen, C.-Y.C.-Y.ChenCaloian C.Campbell F.Chaibub Neto E.Chang Y.-C.Chen B.Chen C.-Y.Chien T.-Y.Clark T.Das S.Davatzikos C.Deng J.Dillenberger D.Dobson R.J.B.Dong Q.Doshi J.Duma D.Errico R.Erus G.Everett E.Fardo D.W.Friend S.H.Fröhlich H.Gan J.St George-Hyslop P.Ghosh S.S.Glaab E.Green R.C.Guan Y.Hong M.-Y.Huang C.Hwang J.Ibrahim J.Inglese P.Iyappan A.Jiang Q.Katsumata Y.Kauwe J.S.K.Klein A.Kong D.Krause R.Lalonde E.Lauria M.Lee E.Lin X.Liu Z.Livingstone J.Logsdon B.A.Lovestone S.Ma T.-W.Malhotra A.Mangravite L.M.Maxwell T.J.Merrill E.Nagorski J.Namasivayam A.Narayan M.Naz M.Newhouse S.J.Norman T.C.Nurtdinov R.N.YEN-JEN OYANGPawitan Y.Peng S.Peters M.A.Piccolo S.R.Praveen P.Priami C.Sabelnykova V.Y.Senger P.Shen X.Simmons A.Sotiras A.Stolovitzky G.Tangaro S.Tateo A.Tung Y.-A.Tustison N.J.Varol E.Vradenburg G.Weiner M.W.Xiao G.Xie L.Xie Y.2019-12-242019-12-24201615525260https://scholars.lib.ntu.edu.tw/handle/123456789/438491Identifying 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.[SDGs]SDG3Alzheimer disease; Article; cognitive defect; coping behavior; crowdsourcing; human; meta analysis; Mini Mental State Examination; neuroimaging; nuclear magnetic resonance imaging; prediction; priority journal; Alzheimer disease; bibliographic database; biology; Cognition Disorders; complication; genetics; predictive value; statistics and numerical data; apolipoprotein E; biological marker; Alzheimer Disease; Apolipoproteins E; Biomarkers; Cognition Disorders; Computational Biology; Databases, Bibliographic; Humans; Predictive Value of Testsjournal article10.1016/j.jalz.2016.02.006270797532-s2.0-84966539175https://www2.scopus.com/inward/record.uri?eid=2-s2.0-84966539175&doi=10.1016%2fj.jalz.2016.02.006&partnerID=40&md5=a65518cff27bb32c5cd79572a7e6c255