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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975403/
https://www.ncbi.nlm.nih.gov/pubmed/27494614
http://dx.doi.org/10.1371/journal.pone.0157077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975403/
https://www.ncbi.nlm.nih.gov/pubmed/27494614
http://dx.doi.org/10.1371/journal.pone.0157077

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