How text-mining could improve surveillance systems?

Roche Mathieu. 2023. How text-mining could improve surveillance systems?. . Data4Earth Laboratory, Faculty of Sciences and Technics Beni Mellal, University Sultan Moulay Slimane. Beni Mellal : Data4Earth Laboratory, Résumé, 1 p. International Conference on Artificial Intelligence and Green Computing (ICAIGC 2023), Beni Mellal, Maroc, 15 Mars 2023/17 Mars 2023.

Matériel d'accompagnement : 1 diaporama (64 vues)

Résumé : The ability to identify emerging and re-emerging diseases is challenging for the health domain. In this context, event-based surveillance (EBS) gathers information from heterogenous data sources, including online news articles. EBS systems integrate text-mining methods to deal with huge amounts of textual data. This talk focuses on the use text-mining and multidisciplinary approaches in order to mine news data dealing with the health domain. These data science approaches are integrated in an EBS system called PADI-web (Platform for Automated extraction of Disease Information from the web). PADI-web dedicated to animal health surveillance tackles disease-based and symptom-based surveillance. To address these issues different text-mining methods associated with labeled textual datasets are integrated in the main steps of EBS systems: data acquisition, information retrieval (i.e. identification of relevant texts), epidemiological information extraction, information to communicate to end-users. These methods are also adapted in other domain like Food security by mining heterogenous data.

Mots-clés libres : One Health, Event-based surveillance, Text Mining, Natural Language Processing, PADI-web

Agences de financement européennes : European Commission

Programme de financement européen : H2020

Projets sur financement : (EU) MOnitoring Outbreak events for Disease surveillance in a data science context

Auteurs et affiliations

• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568

Source : Cirad-Agritrop (https://agritrop.cirad.fr/604295/)

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