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

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Title: Time-to-event ensemble machine learning approach for predicting long-term survival of abdominal aortic aneurysm patients undergoing endovascular aneurysm repair.
Authors: Choi HJ; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea., Lee C; Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea., Lim JS; Clinical Research Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Ok YJ; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea., Choi JS; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea., Jeong JH; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea., Seong YW; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea., Moon HJ; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea., Oh SJ; 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.
Source: PloS one [PLoS One] 2026 Jun 12; Vol. 21 (6), pp. e0349122. Date of Electronic Publication: 2026 Jun 12 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Time-to-event ensemble machine learning approach for predicting long-term survival of abdominal aortic aneurysm patients undergoing endovascular aneurysm repair.
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  Data: <searchLink fieldCode="AU" term="%22Choi+HJ%22">Choi HJ</searchLink>; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+C%22">Lee C</searchLink>; Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lim+JS%22">Lim JS</searchLink>; Clinical Research Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Ok+YJ%22">Ok YJ</searchLink>; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Choi+JS%22">Choi JS</searchLink>; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jeong+JH%22">Jeong JH</searchLink>; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Seong+YW%22">Seong YW</searchLink>; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Moon+HJ%22">Moon HJ</searchLink>; Department of Thoracic and Cardiovascular Surgery, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Oh+SJ%22">Oh SJ</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 Jun 12; Vol. 21 (6), pp. e0349122. <i>Date of Electronic Publication: </i>2026 Jun 12 (<i>Print Publication: </i>2026).
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              Text: 2026 Jun 12
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