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

• Ivo D. Dinov ,

  * E-mail: statistics@umich.edu

  Affiliations Statistics Online Computational Resource, School of Nursing, Michigan Institute for Data Science, University of Michigan, Ann Arbor, Michigan, United States of America, Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, United States of America, Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, Michigan, United States of America

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• Ben Heavner,

  Affiliation Institute for Systems Biology, Seattle, Washington, United States of America

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• Ming Tang,

  Affiliation Statistics Online Computational Resource, School of Nursing, Michigan Institute for Data Science, University of Michigan, Ann Arbor, Michigan, United States of America

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• Gustavo Glusman,

  Affiliation Institute for Systems Biology, Seattle, Washington, United States of America

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• Kyle Chard,

  Affiliation Computation Institute, University of Chicago and Argonne National Laboratory, Chicago, Illinois, United States of America

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• Mike Darcy,

  Affiliation Information Sciences Institute, University of Southern California, Los Angeles, California, United States of America

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• Ravi Madduri,

  Affiliation Computation Institute, University of Chicago and Argonne National Laboratory, Chicago, Illinois, United States of America

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• Judy Pa,

  Affiliation Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, United States of America

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• Cathie Spino,

  Affiliation Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, Michigan, United States of America

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• Carl Kesselman,

  Affiliation Information Sciences Institute, University of Southern California, Los Angeles, California, United States of America

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• Ian Foster,

  Affiliation Computation Institute, University of Chicago and Argonne National Laboratory, Chicago, Illinois, United States of America

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• Eric W. Deutsch,

  Affiliation Institute for Systems Biology, Seattle, Washington, United States of America

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• Nathan D. Price,

  Affiliation Institute for Systems Biology, Seattle, Washington, United States of America

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• John D. Van Horn,

  Affiliation Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, United States of America

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• Joseph Ames,

  Affiliation Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, United States of America

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• Kristi Clark,

  Affiliation Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, United States of America

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• Leroy Hood,

  Affiliation Institute for Systems Biology, Seattle, Washington, United States of America

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• Benjamin M. Hampstead,

  Affiliations Department of Psychiatry and Michigan Alzheimer’s Disease Center, University of Michigan, Ann Arbor, Michigan, United States of America, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, United States of America

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• William Dauer,

  Affiliation Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, Michigan, United States of America

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•  [ ... ],
• Arthur W. Toga

  Affiliation Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, United States of America

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