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Automated extraction of symptoms related to rare diseases from scientific publications

Cousyn Charles, Bouchard Kévin, Bouchard Bruno et Gaboury Sébastien. (2018). Automated extraction of symptoms related to rare diseases from scientific publications. Dans Goodtechs '18 : Proceedings of the 4th EAI International conference on smart objects and technologies for social good. (p. 13-18). New York, NY, United States : Association for computing machinery.

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Rare diseases constitute a poorly known subject among the population. Nevertheless, despite their name, a large number of persons are afflicted by one or many of them. Research on the nearly seven thousand rare diseases is insufficient, and even if some works have been done to exploit scientific publications and extract relevant information, knowledge is very difficult to obtain for the general population. This paper presents a new system that try to address the dissemination of knowledge on rare diseases. Particularly, we focus on the task of extracting automatically symptoms of rare diseases from publications with a new approach using a Named Entity Recognition (NER) algorithm based on the numerical statistic Term Frequency - Inverse Document Frequency (TF-IDF).

Type de document:Chapitre de livre
Lieu de publication:New York, NY, United States
Identifiant unique:10.1145/3284869.3284892
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Sciences naturelles et génie > Sciences mathématiques > Statistiques
Sciences de la santé
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Éditeurs:Furini, Marco
Mirri, Silvia
Bouchard, Kévin
Mots-clés:computer systems organization, networks, dependable and fault-tolerant systems and networks, redundancy, embedded and cyber-physical systems, embedded systems, robotics, network properties, network reliability, text mining, rare disease, named entity recognition, knowledge aggregation, proceedings
Déposé le:12 févr. 2021 15:06
Dernière modification:12 févr. 2021 15:06
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