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Machine learning models for predicting early hemorrhage progression in traumatic brain injury.

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第一作者： Heui Seung,Lee

第一单位： Department of Neurosurgery, College of Medicine, Hallym Sacred Heart Hospital, Hallym University, Anyang-si, Korea.;Interdisciplinary Program for Bioinformatics, Graduate School, Seoul National University, Seoul, Korea.

作者： Heui Seung,Lee ^[1] ; Ji Hee,Kim ^[2] ; Jiye,Son ^[3] ; Hyeryun,Park ^[3] ; Jinwook,Choi ^[4]

作者单位： Department of Neurosurgery, College of Medicine, Hallym Sacred Heart Hospital, Hallym University, Anyang-si, Korea.;Interdisciplinary Program for Bioinformatics, Graduate School, Seoul National University, Seoul, Korea. ^[1] Department of Neurosurgery, College of Medicine, Hallym Sacred Heart Hospital, Hallym University, Anyang-si, Korea. ^[2] Interdisciplinary Program for Bioengineering, Graduate School, Seoul National University, Seoul, Korea.;Integrated Major in Innovative Medical Science, Graduate School, Seoul National University, Seoul, Korea. ^[3] Department of Biomedical Engineering, College of Medicine, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea. jinchoi@snu.ac.kr.;Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, Korea. jinchoi@snu.ac.kr. ^[4]

关键词 Computed tomography Extreme gradient boosting Intracerebral hemorrhage Machine learning Random forest algorithm Traumatic brain injury