Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer’s disease via data fusion and machine learning

• Diana Sofia Rosales-Gurmendi,

  Roles Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliation School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Mexico

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• Gerardo Alejandro Fumagal-González ,

  Roles Investigation, Writing – original draft, Writing – review & editing

  * E-mail: gerardofumagalgzz@gmail.com

  Affiliation School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Mexico

  https://orcid.org/0009-0008-2041-8056

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• Jorge Orozco,

  Roles Data curation, Formal analysis, Investigation, Software, Writing – original draft

  Affiliation School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey, Mexico

  https://orcid.org/0000-0002-7196-3977

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• Joshua Farber,

  Roles Supervision

  Affiliation Qmetrics Technologies LLC, Rochester, New York, United States of America

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• Victor Treviño,

  Roles Supervision, Validation

  Affiliation School of Medicine and Health Sciences, Tecnologico de Monterrey, Monterrey, Mexico

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• Emmanuel Martinez-Ledesma,

  Roles Validation, Visualization

  Affiliations School of Medicine and Health Sciences, Tecnologico de Monterrey, Monterrey, Mexico, The Institute for Obesity Research, Tecnologico de Monterrey, Monterrey, Mexico

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• Antonio Martinez-Torteya,

  Roles Supervision, Writing – review & editing

  Affiliation Engineering Department, Universidad de Monterrey, Monterrey, Mexico

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• Fabiola Rosales-Gurmendi,

  Roles Validation

  Affiliation School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru

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• Jose Tamez-Peña,

  Roles Conceptualization, Formal analysis, Software, Supervision, Writing – review & editing

  Affiliation School of Medicine and Health Sciences, Tecnologico de Monterrey, Monterrey, Mexico

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• for the Alzheimer’s Disease Neuroimaging Initiative

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

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