@article{(Open Science Index):https://publications.waset.org/pdf/6324,
	  title     = {Automatic Real-Patient Medical Data De-Identification for Research Purposes},
	  author    = {Petr Vcelak and  Jana Kleckova},
	  country	= {},
	  institution	= {},
	  abstract     = {Our Medicine-oriented research is based on a medical
data set of real patients. It is a security problem to share
patient private data with peoples other than clinician or hospital
staff. We have to remove person identification information
from medical data. The medical data without private data
are available after a de-identification process for any research
purposes. In this paper, we introduce an universal automatic
rule-based de-identification application to do all this stuff on an
heterogeneous medical data. A patient private identification is
replaced by an unique identification number, even in burnedin
annotation in pixel data. The identical identification is used
for all patient medical data, so it keeps relationships in a data.
Hospital can take an advantage of a research feedback based
on results.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {10},
	  year      = {2011},
	  pages     = {1102 - 1106},
	  ee        = {https://publications.waset.org/pdf/6324},
	  url   	= {https://publications.waset.org/vol/58},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 58, 2011},