Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods

• Konan Hara,

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

  Affiliation Department of Public Health, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

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• Yasuki Kobayashi,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Public Health, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

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• Jun Tomio,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Public Health, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

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• Yuki Ito,

  Roles Methodology, Writing – review & editing

  Affiliation Department of Economics, University of California, Berkeley, Berkeley, California, United States of America

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• Thomas Svensson,

  Roles Writing – review & editing

  Affiliations Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden, School of Health Innovation, Kanagawa University of Human Services, Kawasaki-shi, Kanagawa, Japan

  https://orcid.org/0000-0003-1283-358X

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• Ryo Ikesu,

  Roles Formal analysis, Writing – review & editing

  Affiliations Department of Public Health, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan, Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

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• Ung-il Chung,

  Roles Funding acquisition, Project administration, Writing – review & editing

  Affiliations Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan, School of Health Innovation, Kanagawa University of Human Services, Kawasaki-shi, Kanagawa, Japan, Clinical Biotechnology, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

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• Akiko Kishi Svensson

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

  * E-mail: kishi@bioeng.t.u-tokyo.ac.jp

  Affiliations Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan, Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden, Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

  https://orcid.org/0000-0002-2464-1932

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