Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score

• Agni Orfanoudaki ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: agniorf@mit.edu

  Affiliation Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, United States of America

  http://orcid.org/0000-0003-3737-4826

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• Emma Chesley,

  Roles Data curation, Formal analysis, Software

  Affiliation Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, United States of America

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• Christian Cadisch,

  Roles Formal analysis, Software

  Affiliation Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, United States of America

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• Barry Stein,

  Roles Writing – review & editing

  Affiliation Office of Innovation, Hartford HealthCare, Hartford, CT, United States of America

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• Amre Nouh,

  Roles Supervision, Validation, Writing – original draft, Writing – review & editing

  Affiliation Ayer Neuroscience Institute, Hartford HealthCare, Hartford, CT, United States of America

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• Mark J. Alberts,

  Roles Supervision, Writing – review & editing

  Affiliation Ayer Neuroscience Institute, Hartford HealthCare, Hartford, CT, United States of America

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• Dimitris Bertsimas

  Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – review & editing

  Affiliation Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, United States of America

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