Many works have shown associations between social determinants of health (SDoH) –the social circumstances in which people live– and health-related outcomes. However, the lack of SDoH data increases the challenges in measuring and understanding their effect on people’s health and health systems. In this paper, we present GASTon, a system for the indexing, annotation, and graph-based rendering of PubMed information to enable the search and retrieval of SDoHs in scientific literature. Our work provides a way to associate specific concepts with peer-reviewed articles to simplify the search for social factors. It builds a knowledge graph based on PubMed publications and associates them with concepts extracted from the Unified Medical Language System (UMLS) Metathesaurus. GASTon allows a full-text search and graph-based navigation and supports an overview of the concepts and related publications. Moreover, the architecture allows scale-up thanks to its containerized nature and parallelizat ion capabilities. The system is open-source under the Apache V2 license.

GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health / Bottoni, Simone; Trombetta, Alberto; Bertini, Flavio; Montesi, Danilo; Bonin, Francesca; Pascale, Alessandra; Gleize, Martin; Tommasi, Pierpaolo. - ELETTRONICO. - 5:(2023), pp. 424-431. (Intervento presentato al convegno International Conference on Health Informatics tenutosi a Lisbon nel 16/02/2023) [10.5220/0011714900003414].

GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health

Bertini, Flavio;Montesi, Danilo;
2023

Abstract

Many works have shown associations between social determinants of health (SDoH) –the social circumstances in which people live– and health-related outcomes. However, the lack of SDoH data increases the challenges in measuring and understanding their effect on people’s health and health systems. In this paper, we present GASTon, a system for the indexing, annotation, and graph-based rendering of PubMed information to enable the search and retrieval of SDoHs in scientific literature. Our work provides a way to associate specific concepts with peer-reviewed articles to simplify the search for social factors. It builds a knowledge graph based on PubMed publications and associates them with concepts extracted from the Unified Medical Language System (UMLS) Metathesaurus. GASTon allows a full-text search and graph-based navigation and supports an overview of the concepts and related publications. Moreover, the architecture allows scale-up thanks to its containerized nature and parallelizat ion capabilities. The system is open-source under the Apache V2 license.
2023
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies BIOSTEC
424
431
GASTon: A Graph-Exploration System for Indexing, Annotating and Visualizing PubMed Articles to Enhance the Analysis of Social deTerminants of Health / Bottoni, Simone; Trombetta, Alberto; Bertini, Flavio; Montesi, Danilo; Bonin, Francesca; Pascale, Alessandra; Gleize, Martin; Tommasi, Pierpaolo. - ELETTRONICO. - 5:(2023), pp. 424-431. (Intervento presentato al convegno International Conference on Health Informatics tenutosi a Lisbon nel 16/02/2023) [10.5220/0011714900003414].
Bottoni, Simone; Trombetta, Alberto; Bertini, Flavio; Montesi, Danilo; Bonin, Francesca; Pascale, Alessandra; Gleize, Martin; Tommasi, Pierpaolo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/927734
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