Personal health information leak prevention in heterogeneous texts

Authors:
Marina Sokolova;Khaled El Emam;Sean Rose;Sadrul Chowdhury;Emilio Neri;Elizabeth Jonker;Liam Peyton
Affiliations:
Children's Hospital of Eastern Ontario, Ottawa, Canada;Children's Hospital of Eastern Ontario, Ottawa, Canada and University of Ottawa, Ottawa, Canada, ON;University of Ottawa, Ottawa, Canada, ON;Children's Hospital of Eastern Ontario, Ottawa, Canada;Children's Hospital of Eastern Ontario, Ottawa, Canada;Children's Hospital of Eastern Ontario, Ottawa, Canada;University of Ottawa, Ottawa, Canada, ON
Venue:
AdaptLRTtoND '09 Proceedings of the Workshop on Adaptation of Language Resources and Technology to New Domains
Year:
2009

Citing 9
Cited 2

Protecting Job Seekers from Identity Theft

IEEE Internet Computing
Scanning electronic documents for personally identifiable information

Proceedings of the 5th ACM workshop on Privacy in electronic society
A de-identifier for medical discharge summaries

Artificial Intelligence in Medicine
Epistemic privacy

Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Detecting privacy leaks using corpus-based association rules

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Vanity fair: privacy in querylog bundles

Proceedings of the 17th ACM conference on Information and knowledge management
Data Quality and Record Linkage Techniques

Data Quality and Record Linkage Techniques
Data Hemorrhages in the Health-Care Sector

Financial Cryptography and Data Security
Specificity helps text classification

ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval

An experimental study on the measurement of data sensitivity

Proceedings of the First Workshop on Building Analysis Datasets and Gathering Experience Returns for Security
System for automatic estimation of data sensitivity with applications to access control and other applications

Proceedings of the 16th ACM symposium on Access control models and technologies

Quantified Score

Hi-index	0.01

Visualization

Abstract

We built a system which prevents leaks of personal health information inadvertently disclosed in heterogeneous text data. The system works with free-form texts. We empirically tested the system on files gathered from peer-to-peer file exchange networks. This study presents our text analysis apparatus. We discuss adaptation of lexical sources used in medical, scientific, domain for analysis of personal health information.