A Machine Learning-Based Prognostic Model for the Prediction of Early Death After Traumatic Brain Injury: Comparison with the Corticosteroid Randomization After Significant Head Injury (CRASH) Model.

Lee, Sang Hyub; Lee, Chul Hee; Hwang, Soo Hyun; Kang, Dong Ho

Lee, Sang Hyub; Lee, Chul Hee; Hwang, Soo Hyun; Kang, Dong Ho.

Afiliação

Lee SH; Department of Neurosurgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Lee CH; Department of Neurosurgery, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju-Si, Gyeongsangnam-do, Republic of Korea. Electronic address: chl68@gnu.ac.kr.
Hwang SH; Department of Neurosurgery, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Seongsan-gu, Changwon-Si, Gyeongsangnam-do, Republic of Korea.
Kang DH; Department of Neurosurgery, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju-Si, Gyeongsangnam-do, Republic of Korea.

World Neurosurg ; 166: e125-e134, 2022 10.

Article em En | MEDLINE | ID: mdl-35787963

Assuntos

Lesões Encefálicas Traumáticas; Corticosteroides/uso terapêutico; Humanos; Aprendizado de Máquina; Prognóstico; Distribuição Aleatória; Estudos Retrospectivos

Palavras-chave

Corticosteroid randomization after significant head injury model; Early death; Machine learning; Prognostic model; Trauma; Traumatic brain injury

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Lesões Encefálicas Traumáticas Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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