Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study

• Batuhan K. Karaman,

  Roles Conceptualization, Data curation, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft

  Affiliations School of Electrical and Computer Engineering, Cornell University and Cornell Tech, New York, NY, United States of America, Department of Radiology, Weill Cornell Medicine, New York, NY, United States of America

  https://orcid.org/0000-0002-5108-5417

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• Elizabeth C. Mormino,

  Roles Conceptualization, Writing – review & editing

  Affiliation Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, United States of America

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• Mert R. Sabuncu ,

  Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Writing – original draft

  * E-mail: msabuncu@cornell.edu

  Affiliations School of Electrical and Computer Engineering, Cornell University and Cornell Tech, New York, NY, United States of America, Department of Radiology, Weill Cornell Medicine, New York, NY, United States of America

  https://orcid.org/0000-0002-7068-719X

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• for the Alzheimer’s Disease Neuroimaging Initiative

  ¶Membership of the Alzheimer’s Disease Neuroimaging Initiative is provided in the Acknowledgments.

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