• DocumentCode
    3316203
  • Title

    Towards natural language interface framework for automated medical analysis

  • Author

    Sebastian, Y. ; Loh, Brian C S ; Then, Patrick H H

  • Author_Institution
    Sch. of Comput. & Design, Swinburne Univ. of Technol., Kuching, Malaysia
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    5
  • Lastpage
    9
  • Abstract
    Constructing a practical medical data analysis system for real-life scenario remains challenging. While the development of various medical data analysis algorithms is rapidly advancing, it has not been matched by the development of a feasible, practical application framework for their implementation. In this paper, we introduce a medical data analysis framework based on natural language QA interface to structured medical data sources. We demonstrate that the complexities of performing medical data analyses can be simplified into question answering framework. Utilizing standard medical vocabularies, two hypothetical clinical questions are interpreted and the required analytics are automatically performed to produce textual and non-textual data for clinicians.
  • Keywords
    data analysis; data structures; database management systems; medical administrative data processing; natural languages; automated medical analysis; medical data analysis system; medical data source structure; natural language interface; standard medical vocabularies; Availability; Cardiology; Data analysis; Databases; Head; Information retrieval; Natural languages; Performance analysis; Unified modeling language; Vocabulary; Restricted-domain question answering system; UMLS concept mapping; automated medical data analysis; natural language interface to database;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234782
  • Filename
    5234782