• DocumentCode
    579456
  • Title

    Using Natural Language Processing and the Electronic Health Record for Appendicitis Risk Stratification

  • Author

    Deleger, Louise ; Brodzinski, Holly ; Zhai, Haijun ; Li, Qi ; Lingren, Todd ; Kirkendall, Eric ; Alessandrini, Evaline ; Solti, Imre

  • Author_Institution
    Cincinnati Children´´s Hosp. Med. Center, Cincinnati, OH, USA
  • fYear
    2012
  • fDate
    27-28 Sept. 2012
  • Firstpage
    32
  • Lastpage
    32
  • Abstract
    This study evaluated an automated approach for appendicitis risk stratification of pediatric Emergency Department patients using Conditional Random Fields, rules and Support Vector Machines. The results show that the approach is very promising for appendicitis risk stratification.
  • Keywords
    emergency services; medical information systems; natural language processing; paediatrics; risk analysis; support vector machines; automatic appendicitis risk stratification approach; conditional random fields; electronic health record; natural language processing; pediatric emergency department patients; support vector machines; Hospitals; Medical diagnostic imaging; Natural language processing; Pain; Pediatrics; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4803-4
  • Type

    conf

  • DOI
    10.1109/HISB.2012.15
  • Filename
    6366119
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=579456