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Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients.
Yu, Duo; Williams, George W; Aguilar, David; Yamal, José-Miguel; Maroufy, Vahed; Wang, Xueying; Zhang, Chenguang; Huang, Yuefan; Gu, Yuxuan; Talebi, Yashar; Wu, Hulin.
  • Yu D; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Williams GW; Department of Anesthesiology, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Aguilar D; Department of Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Yamal JM; Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Maroufy V; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Wang X; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Zhang C; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Huang Y; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Gu Y; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Talebi Y; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
  • Wu H; Department of Biostatistics & Data Science, School of Public Health, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA.
Ann Clin Transl Neurol ; 7(11): 2178-2185, 2020 11.
Article en En | MEDLINE | ID: mdl-32990362
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hemorragia Subaracnoidea / Vasoconstrictores / Isquemia Encefálica / Evaluación de Resultado en la Atención de Salud / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Hemorragia Subaracnoidea / Vasoconstrictores / Isquemia Encefálica / Evaluación de Resultado en la Atención de Salud / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article