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
Link To Document