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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Veröffentlicht in:PLoS One
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2016
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Research Article
Online Zugang: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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