Machine learning based prediction of recurrence after curative resection for rectal cancer

• Youngbae Jeon ,

  Roles Data curation, Formal analysis, Investigation, Writing – original draft, Writing – review & editing

  ¶‡ YJ and YJK equally contributed as first authors.

  Affiliation Department of Surgery, Division of Colon and Rectal Surgery, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea

  https://orcid.org/0000-0003-1322-9536

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• Young-Jae Kim ,

  Roles Formal analysis, Investigation, Writing – original draft, Writing – review & editing

  ¶‡ YJ and YJK equally contributed as first authors.

  Affiliation Department of Biomedical Engineering, Gachon University, Incheon, South Korea

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• Jisoo Jeon,

  Roles Formal analysis, Investigation

  Affiliation Department of Biomedical Engineering, Gachon University, Incheon, South Korea

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• Kug-Hyun Nam,

  Roles Data curation

  Affiliation Department of Surgery, Division of Colon and Rectal Surgery, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea

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• Tae-Sik Hwang,

  Roles Data curation

  Affiliation Department of Surgery, Division of Colon and Rectal Surgery, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea

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• Kwang-Gi Kim ,

  Roles Conceptualization, Supervision

  * E-mail: kimkg@gachon.ac.kr (KGK); gsbaek@gilhospital.com (JHB)

  Affiliation Department of Biomedical Engineering, Gachon University, Incheon, South Korea

  https://orcid.org/0000-0001-9714-6038

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• Jeong-Heum Baek

  Roles Conceptualization, Supervision

  * E-mail: kimkg@gachon.ac.kr (KGK); gsbaek@gilhospital.com (JHB)

  Affiliation Department of Surgery, Division of Colon and Rectal Surgery, Gil Medical Center, Gachon University College of Medicine, Incheon, South Korea

  https://orcid.org/0000-0001-9124-8041

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