Transforming Clinical Data into Actionable Prognosis Models: Machine-Learning Framework and Field-Deployable App to Predict Outcome of Ebola Patients

• Andres Colubri ,

  Contributed equally to this work with: Andres Colubri, Tom Silver

  * E-mail: acolubri@fas.harvard.edu

  Affiliations Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America

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• Tom Silver ,

  Contributed equally to this work with: Andres Colubri, Tom Silver

  Affiliations Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America, Harvard College, Cambridge, Massachusetts, United States of America

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• Terrence Fradet,

  Affiliation Fathom Information Design, Boston, Massachusetts, United States of America

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• Kalliroi Retzepi,

  Affiliation Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America

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• Ben Fry ,

  ¶‡ BF and PS also contributed equally to this work

  Affiliation Fathom Information Design, Boston, Massachusetts, United States of America

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• Pardis Sabeti

  ¶‡ BF and PS also contributed equally to this work

  Affiliations Center for Systems Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America, Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, Massachusetts, United States of America

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