Development and evaluation of a case-based retrieval service

Pasche, Emilie (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Switzerland) ; Chinali, Marcello (Department of pediatric cardiology and cardiac surgery, "Bambino Gesù" Children Hospital, Italy) ; Gobeill, Julien (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Switzerland) ; Ruch, Patrick (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale ; SIB Text Mining, Swiss Institute of Bioinformatics, Switzerland)

Identifying similar patients might greatly facilitate the treatment of a given patient, enabling to observe the response and outcome to a particular treatment. Case-based retrieval services dealing with natural language processing are of major importance to deal with the significant amount of unstructured clinical data. In this paper, we present the development and evaluation of a case-based retrieval (CBR) service tested on a collection of Italian pediatric cardiology cases. Cases are indexed and a search engine is proposed. Search functionalities, such as interactive MeSH normalization and relevance feedback, are proposed. While the qualitative evaluation aims to provide feedback and recommendations, the quantitative evaluation enables to estimate the precision of the system. In more than half of the cases and for up to two thirds of them, the system is able to suggest a similar episode of care at first rank. With an improvement of the feedback relevance strategy, we can expect an improvement of the precision. The CBR can be expanded to multilingual EHR and other fields.


Mots-clés:
Faculté:
Economie et Services
Ecole:
HEG GE Haute école de gestion de Genève
Institut:
CRAG - Centre de Recherche Appliquée en Gestion
Classification:
Economie/gestion
Adresse bibliogr.:
Amsterdam, ISO Press
Date:
Amsterdam
ISO Press
2017
Pagination:
pp. 186-190
Publié dans
Informatics for health: connected citizen-led wellness and population health
DOI:
ISBN:
978-1-61499-752-8
Ressource(s) externe(s):
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 Notice créée le 2017-10-23, modifiée le 2018-08-31

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