Title :
Semantic anonymization of medical records
Author :
Ringenberg, Tatiana R. ; Taylor, J.M.
Author_Institution :
Comput. & Inf. Technol, Purdue Univ., West Lafayette, IN, USA
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;
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
DOI :
10.1109/SMC.2014.6974119