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Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage.
Ramos, Lucas Alexandre; van der Steen, Wessel E; Sales Barros, Renan; Majoie, Charles B L M; van den Berg, Rene; Verbaan, Dagmar; Vandertop, W Peter; Zijlstra, I Jsbrand Andreas Jan; Zwinderman, A H; Strijkers, Gustav J; Olabarriaga, Silvia Delgado; Marquering, Henk A.
Affiliation
  • Ramos LA; Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • van der Steen WE; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands.
  • Sales Barros R; Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Majoie CBLM; Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.
  • van den Berg R; Neurosurgical Center Amsterdam, Academic Medical Center, Amsterdam, The Netherlands.
  • Verbaan D; Department of Neurology, Academic Medical Center, Amsterdam, The Netherlands.
  • Vandertop WP; Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Zijlstra IJAJ; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands.
  • Zwinderman AH; Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.
  • Strijkers GJ; Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.
  • Olabarriaga SD; Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands.
  • Marquering HA; Neurosurgical Center Amsterdam, Academic Medical Center, Amsterdam, The Netherlands.
J Neurointerv Surg ; 11(5): 497-502, 2019 May.
Article in En | MEDLINE | ID: mdl-30415227
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Subarachnoid Hemorrhage / Brain Ischemia / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Neurointerv Surg Year: 2019 Document type: Article Affiliation country: Países Bajos Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Subarachnoid Hemorrhage / Brain Ischemia / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Neurointerv Surg Year: 2019 Document type: Article Affiliation country: Países Bajos Country of publication: Reino Unido