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Authors: Rebeca Perez-Lainez ; Ana Iglesias and Cesar de Pablo-Sanchez

Affiliation: Universidad Carlos III de Madrid, Spain

ISBN: 978-989-674-011-5

Keyword(s): Anonymization, Medical Records, Sensible Data, Private Data, De-identification, Clinical Notes.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data and Application Security and Privacy ; Information and Systems Security ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Privacy ; Symbolic Systems

Abstract: The anonymization of unstructured texts is nowadays a task of great importance in several text mining applications. Medical records anonymization is needed both to preserve personal health information privacy and enable further data mining efforts. The described ANONYMITEXT system is designed to de-identify sensible data from unstructured documents. It has been applied to Spanish clinical notes to recognize sensible concepts that would need to be removed if notes are used beyond their original scope. The system combines several medical knowledge resources with semantic clinical notes induced dictionaries. An evaluation of the semi-automatic process has been carried on a subset of the clinical notes on the most frequent attributes.

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Paper citation in several formats:
Perez-Lainez R.; Iglesias A.; de Pablo-Sanchez C. and (2009). ANONIMYTEXT: ANONIMIZATION OF UNSTRUCTURED DOCUMENTS.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009) ISBN 978-989-674-011-5, pages 284-287. DOI: 10.5220/0002297102840287

@conference{kdir09,
author={Rebeca Perez{-}Lainez and Ana Iglesias and Cesar {de Pablo{-}Sanchez}},
title={ANONIMYTEXT: ANONIMIZATION OF UNSTRUCTURED DOCUMENTS},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)},
year={2009},
pages={284-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002297102840287},
isbn={978-989-674-011-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2009)
TI - ANONIMYTEXT: ANONIMIZATION OF UNSTRUCTURED DOCUMENTS
SN - 978-989-674-011-5
AU - Perez-Lainez, R.
AU - Iglesias, A.
AU - de Pablo-Sanchez, C.
PY - 2009
SP - 284
EP - 287
DO - 10.5220/0002297102840287

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