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Methodological Issues in Predicting Pediatric Epilepsy Surgery Candidates Through Natural Language Processing and Machine Learning.
Cohen, Kevin Bretonnel; Glass, Benjamin; Greiner, Hansel M; Holland-Bouley, Katherine; Standridge, Shannon; Arya, Ravindra; Faist, Robert; Morita, Diego; Mangano, Francesco; Connolly, Brian; Glauser, Tracy; Pestian, John.
Afiliação
  • Cohen KB; Computational Bioscience Program, University of Colorado School of Medicine, Denver, CO, USA.
  • Glass B; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Greiner HM; Division of Neurology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Holland-Bouley K; Division of Neurology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Standridge S; Division of Neurology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Arya R; Division of Neurology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Faist R; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Morita D; Division of Neurology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Mangano F; Division of Pediatric Neurosurgery, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Connolly B; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Glauser T; Division of Neurology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
  • Pestian J; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA.
Biomed Inform Insights ; 8: 11-8, 2016.
Article em En | MEDLINE | ID: mdl-27257386
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biomed Inform Insights Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Biomed Inform Insights Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Estados Unidos