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	title        = {Complementary Methods for De-identifying Sensitive Data with a focus on Clinical Discourse},
	abstract     = {In the era of the Electronic Health Record (EHR) the release of individual data for research, public health planning, health care statistics, monitoring of diagnostic tests, automated data collection for health care registries and tracking disease outbreaks are some of the areas in which the protection of Personal Health Information (PHI) has become an important concern. The purpose of this study is to adapt and apply synergetic methods to document de-identification, particularly clinical, or other sources of sensitive data. The main challenge and goal of this research is to retain important concepts and PHI in the documents in a standardized and neutral manner as means of encryption without violating the integrity of the PHI and without sacrificing the quality and intended meaning of the authors.},
	journal      = {Revista de Procesamiento de Lenguaje Natural (SEPLN)},
	author       = {Kokkinakis, Dimitrios},
	year         = {2010},
	volume       = {45},
	pages        = {243--246},