Time-to-event ensemble machine learning approach for predicting long-term survival of abdominal aortic aneurysm patients undergoing endovascular aneurysm repair

• Hong-Jae Choi,

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

  Affiliation Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

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• Changhee Lee,

  Roles Data curation, Formal analysis, Methodology, Writing – review & editing

  Affiliation Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea

  https://orcid.org/0000-0002-8681-4739

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• Joon Seo Lim,

  Roles Supervision, Writing – review & editing

  Affiliation Clinical Research Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

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• You Jung Ok,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

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• Jae-Sung Choi,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

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• Jae Hwa Jeong,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

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• Yong Won Seong,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

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• Hyeon Jong Moon,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea

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• Se Jin Oh

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

  * E-mail: wpwnn@snu.ac.kr

  Affiliations Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea, Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Republic of Korea

  https://orcid.org/0000-0002-1516-5313

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