Analysis of length of hospital stay using electronic health records: A statistical and data mining approach

• Hyunyoung Baek ,

  Roles Conceptualization, Writing – original draft

  ¶‡ These authors also contributed equally to this work and are first authors.

  Affiliation Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea

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• Minsu Cho ,

  Roles Formal analysis

  ¶‡ These authors also contributed equally to this work and are first authors.

  Affiliations Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, South Korea, School of Management Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea

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• Seok Kim,

  Roles Methodology

  Affiliation Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea

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• Hee Hwang,

  Roles Project administration

  Affiliation Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea

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• Minseok Song ,

  Contributed equally to this work with: Minseok Song, Sooyoung Yoo

  Roles Supervision

  * E-mail: mssong@postech.ac.kr (MS); yoosoo0@snubh.org (SY)

  Affiliation Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, South Korea

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• Sooyoung Yoo

  Contributed equally to this work with: Minseok Song, Sooyoung Yoo

  Roles Supervision, Writing – review & editing

  * E-mail: mssong@postech.ac.kr (MS); yoosoo0@snubh.org (SY)

  Affiliation Office of eHealth Research and Businesses, Seoul National University Bundang Hospital, Seongnam, South Korea

  http://orcid.org/0000-0001-8620-4925

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