Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults

• Hong J. Kan ,

  Contributed equally to this work with: Hong J. Kan, Hadi Kharrazi

  Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

  * E-mail: hkan1@jhu.edu

  Affiliation Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  http://orcid.org/0000-0002-4585-5016

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• Hadi Kharrazi ,

  Contributed equally to this work with: Hong J. Kan, Hadi Kharrazi

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

  Affiliation Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  http://orcid.org/0000-0003-1481-4323

  ⨯
• Hsien-Yen Chang ,

  Roles Software, Writing – review & editing

  ¶‡ These authors also contributed equally to this work.

  Affiliation Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  http://orcid.org/0000-0002-7997-4822

  ⨯
• Dave Bodycombe ,

  Roles Software, Writing – review & editing

  ¶‡ These authors also contributed equally to this work.

  Affiliation Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  http://orcid.org/0000-0002-6548-2843

  ⨯
• Klaus Lemke ,

  Roles Data curation, Software, Writing – review & editing

  ¶‡ These authors also contributed equally to this work.

  Affiliation Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  ⨯
• Jonathan P. Weiner

  Roles Data curation, Resources, Software, Supervision, Writing – review & editing

  ¶‡ These authors also contributed equally to this work.

  Affiliation Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America

  ⨯