• DocumentCode
    173533
  • Title

    Semantic anonymization of medical records

  • Author

    Ringenberg, Tatiana R. ; Taylor, J.M.

  • Author_Institution
    Comput. & Inf. Technol, Purdue Univ., West Lafayette, IN, USA
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    1450
  • Lastpage
    1455
  • Abstract
    In recent years, especially with the backing of HIPPA, anonymization of records became an increasing concern. Much research has been done in the area of anonymization of medical records. Anonymization is often based on generalizing, or removing, several fields which have been deemed identifiable. Little research has been done on anonymizing patient symptoms themselves. In this paper, we propose an algorithm for anonymizing patient symptom data, for the use by researchers, using a semantically-driven ontology and methodology known as Ontological Semantic Technology.
  • Keywords
    data handling; database management systems; electronic health records; natural language processing; ontologies (artificial intelligence); HIPPA; k-anonymity; natural language meaning; ontological semantic technology; patient symptom data anonymization; semantic medical record anonymization; semantically-driven methodology; semantically-driven ontology; Databases; Grain size; Ontologies; Pain; Pediatrics; Semantics; Tunneling magnetoresistance; Ontological Semantics; Semantics; anonymization; k-anonymity; medical records; natural language meaning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974119
  • Filename
    6974119