Your browser doesn't support javascript.
loading
Prospective validation of a machine learning model that uses provider notes to identify candidates for resective epilepsy surgery.
Wissel, Benjamin D; Greiner, Hansel M; Glauser, Tracy A; Holland-Bouley, Katherine D; Mangano, Francesco T; Santel, Daniel; Faist, Robert; Zhang, Nanhua; Pestian, John P; Szczesniak, Rhonda D; Dexheimer, Judith W.
Affiliation
  • Wissel BD; Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Greiner HM; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.
  • Glauser TA; Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Holland-Bouley KD; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.
  • Mangano FT; Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Santel D; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.
  • Faist R; Division of Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Zhang N; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio.
  • Pestian JP; Division of Neurosurgery, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Szczesniak RD; Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
  • Dexheimer JW; Department of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Epilepsia ; 61(1): 39-48, 2020 01.
Article in En | MEDLINE | ID: mdl-31784992
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Natural Language Processing / Patient Selection / Epilepsy / Electronic Health Records / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged / Newborn Language: En Year: 2020 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Natural Language Processing / Patient Selection / Epilepsy / Electronic Health Records / Machine Learning Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged / Newborn Language: En Year: 2020 Type: Article