Utilization of machine learning methods for predicting surgical outcomes after total knee arthroplasty

• Hina Mohammed,

  Roles Conceptualization, Formal analysis, Methodology, Writing – original draft

  Affiliations Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America, Syapse Inc, Palo Alto, California, United States of America

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• Yihe Huang,

  Roles Formal analysis

  Affiliation Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America

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• Stavros Memtsoudis ,

  Contributed equally to this work with: Stavros Memtsoudis, Michael Parks, Yuxiao Huang

  Roles Conceptualization, Writing – review & editing

  Affiliations Hospital for Special Surgery, New York City, New York, United States of America, Weill Cornell Medical College, Cornell University, New York City, New York, United States of America

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• Michael Parks ,

  Contributed equally to this work with: Stavros Memtsoudis, Michael Parks, Yuxiao Huang

  Roles Conceptualization, Writing – review & editing

  Affiliations Hospital for Special Surgery, New York City, New York, United States of America, Weill Cornell Medical College, Cornell University, New York City, New York, United States of America

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• Yuxiao Huang ,

  Contributed equally to this work with: Stavros Memtsoudis, Michael Parks, Yuxiao Huang

  Roles Conceptualization, Formal analysis, Writing – review & editing

  Affiliation Columbian College of Arts & Sciences, The George Washington University, Washington, DC, United States of America

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• Yan Ma

  Roles Conceptualization, Methodology, Supervision, Writing – original draft

  * E-mail: yanma@email.gwu.edu

  Affiliation Milken Institute School of Public Health, The George Washington University, Washington, DC, United States of America

  https://orcid.org/0000-0002-2118-0392

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