Deep Learning to Predict Traumatic Brain Injury Outcomes in the Low-Resource Setting.

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作者： Syed M,Adil ^[1] ; Cyrus,Elahi ^[2] ; Dev N,Patel ^[3] ; Andreas,Seas ^[4] ; Pranav I,Warman ^[5] ; Anthony T,Fuller ^[1] ; Michael M,Haglund ^[1] ; Timothy W,Dunn ^[6]

作者单位： Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA; Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA. ^[1] Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA; Barrow Neurological Institute, Phoenix, Arizona, USA. ^[2] Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA; Department of Neurosurgery, New York University Langone Medical Center, New York, New York, USA. ^[3] Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA; Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina, USA. ^[4] Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA. ^[5] Division of Global Neurosurgery and Neurology, Duke University Medical Center, Durham, North Carolina, USA; Department of Biomedical Engineering, Pratt School of Engineering, Duke University, Durham, North Carolina, USA. Electronic address: timothy.dunn@duke.edu. ^[6]

关键词 AUPRC AUROC Deep neural network Global neurosurgery Machine learning Traumatic brain injury

主题词人类(Humans);Logistic模型(Logistic Models);ROC曲线(ROC Curve);乌干达(Uganda)

DOI 10.1016/j.wneu.2022.02.097

PMID 35247613

发布时间 2024-07-18

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