loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Affiliation: Universidad Carlos III de Madrid, Spain

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.15.14.245

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Perez-Lainez, R.; Iglesias, A. and de Pablo-Sanchez, C. (2009). ANONIMYTEXT: ANONIMIZATION OF UNSTRUCTURED DOCUMENTS. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR; ISBN 978-989-674-011-5; ISSN 2184-3228, SciTePress, 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 (IC3K 2009) - KDIR},
year={2009},
pages={284-287},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002297102840287},
isbn={978-989-674-011-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR
TI - ANONIMYTEXT: ANONIMIZATION OF UNSTRUCTURED DOCUMENTS
SN - 978-989-674-011-5
IS - 2184-3228
AU - Perez-Lainez, R.
AU - Iglesias, A.
AU - de Pablo-Sanchez, C.
PY - 2009
SP - 284
EP - 287
DO - 10.5220/0002297102840287
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic