Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations

• Emily J. MacKay ,

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

  * E-mail: Emily.mackay@pennmedicine.upenn.edu, mackay.ej@gmail.com

  Affiliations Department of Anesthesiology and Critical Care, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Penn Center for Perioperative Outcomes Research and Transformation (CPORT), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Penn’s Cardiovascular Outcomes, Quality and Evaluative Research Center (CAVOQER), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

  https://orcid.org/0000-0001-9865-419X

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• Michael D. Stubna,

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Visualization

  Affiliation Penn Predictive Healthcare, Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

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• Corey Chivers,

  Roles Conceptualization, Investigation, Resources

  Affiliation Penn Predictive Healthcare, Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

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• Michael E. Draugelis,

  Roles Conceptualization, Methodology, Supervision

  Affiliation Penn Predictive Healthcare, Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

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• William J. Hanson,

  Roles Funding acquisition, Resources, Writing – review & editing

  Affiliation Division of Cardiovascular Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

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• Nimesh D. Desai,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations Penn’s Cardiovascular Outcomes, Quality and Evaluative Research Center (CAVOQER), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Division of Cardiovascular Surgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Leonard Davis Institute of Health Economics (LDI), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

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• Peter W. Groeneveld

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations Penn’s Cardiovascular Outcomes, Quality and Evaluative Research Center (CAVOQER), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Leonard Davis Institute of Health Economics (LDI), University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, United States of America

  https://orcid.org/0000-0002-7374-4292

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