HitzalMed: Anonymisation of Clinical Text in Spanish
Authors: Salvador Lima Naiara Perez Miguel Laura García Sardiña
Date: 13.05.2020
Abstract
HitzalMed is a web-framed tool that performs automatic detection of sensitive information in clinical texts using machine learning algorithms reported to be competitive for the task. Moreover, once sensitive information is detected, different anonymisation techniques are implemented that are configurable by the user –for instance, substitution, where sensitive items are replaced by same category text in an effort to generate a new document that looks as natural as the original one. The tool is able to get data from different document formats and outputs downloadable anonymised data. This paper presents the anonymisation and substitution technology and the demonstrator which is publicly available at https://snlt.vicomtech.org/hitzalmed.
BIB_text
title = {HitzalMed: Anonymisation of Clinical Text in Spanish},
pages = {7038-7043},
keywds = {
clinical data, sensitive data detection, anonymisation
}
abstract = {
HitzalMed is a web-framed tool that performs automatic detection of sensitive information in clinical texts using machine learning algorithms reported to be competitive for the task. Moreover, once sensitive information is detected, different anonymisation techniques are implemented that are configurable by the user –for instance, substitution, where sensitive items are replaced by same category text in an effort to generate a new document that looks as natural as the original one. The tool is able to get data from different document formats and outputs downloadable anonymised data. This paper presents the anonymisation and substitution technology and the demonstrator which is publicly available at https://snlt.vicomtech.org/hitzalmed.
}
isbn = {979-10-95546-34-4},
date = {2020-05-13},
}
