Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations

BACKGROUND: A unique archive of Big Data on Parkinson’s Disease is collected, managed and disseminated by the Parkinson’s Progression Markers Initiative (PPMI). The integration of such complex and heterogeneous Big Data from multiple sources offers unparalleled opportunities to study the early stage...

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Detalhes bibliográficos
Publicado no:PLoS One
Main Authors: Dinov, Ivo D., Heavner, Ben, Tang, Ming, Glusman, Gustavo, Chard, Kyle, Darcy, Mike, Madduri, Ravi, Pa, Judy, Spino, Cathie, Kesselman, Carl, Foster, Ian, Deutsch, Eric W., Price, Nathan D., Van Horn, John D., Ames, Joseph, Clark, Kristi, Hood, Leroy, Hampstead, Benjamin M., Dauer, William, Toga, Arthur W.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2016
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4975403/
https://ncbi.nlm.nih.gov/pubmed/27494614
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0157077
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