Geographic Partitioning Techniques for the Anonymization of Health Care Data (Big data and advanced analytics methods to ensure privacy).

September 29, 2015 at 1:30 p.m. Dr. Wei Shi, Assistant professor at the faculty of Business and I.T. in the University of Ontario Institute of Technology and an adjunct professor in the School of Computer Science at Carleton University, will be presenting “Geographic Partitioning Techniques for the Anonymization of Health Care Data (Big data and advanced analytics methods to ensure privacy)”.

Speaker: Dr. Wei Shi
Assistant professor at the faculty of Business and I.T. in the University of Ontario Institute of Technology and an adjunct professor in the School of Computer Science at Carleton University.

Day & Time: Tuesday, September 29, 2015
1:30 p.m. – 2:30 p.m.

Location: Eric Palin Hall
Ryerson University
Room: EPH207
87 Gerrard Street East, Toronto, Ontario
Click here to see the Map – Look for EPH

Organizer: IEEE Toronto Systems Chapter

Contact: E-mail: Alexei Botchkarev

Registration: Registration is free, but space is limited. Please register via this link: http://tinyurl.com/systemsEvent

Abstract: Hospitals and health care organizations collect large amounts of detailed health care data that is in high demand by researchers. Thus, the possessors of such data are in need of methods that allow for this data to be released without compromising the confidentiality of the individuals to whom it pertains. As the geographic aspect of this data is becoming increasingly relevant for research being conducted, it is important for an anonymization process to pay due attention to the geographic attributes of such data. In this talk, a novel system for health care data anonymization is presented. At the core of the system is the aggregation of an initial regionalization guided by the use of a Voronoi diagram. We conduct a comparison with another geographic-based system of anonymization, GeoLeader. We show that our system is capable of producing results of a comparable quality with a much faster running time.

Biography: Dr. Wei Shi is an assistant professor at the faculty of Business and I.T. in the University of Ontario Institute of Technology and an adjunct professor in the School of Computer Science at Carleton University. Dr. Shi received her BEng. in Computer Engineering from Harbin Institute of Technology in China and MSC and Ph.D. in Computer Science from Carleton University in Ottawa, Canada. Her research interests include big data analytics, algorithm design and analysis for distributed environments such as the cloud, wireless sensor network, mobile network as well as vehicular network. She has published over 40 technical papers in top conferences and journals. Her research work is supported by IBM and Natural Sciences and Engineering Research Council (NSERC) of Canada.