A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease

Michael Barrett; Syed Sibte Raza Abidi; Ali Daowd; Samina Abidi

doi:10.3233/SHTI220084

A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease

Michael Barrett, Syed Sibte Raza Abidi, Ali Daowd, Samina Abidi

Medicine

Medicine

Résultat de recherche: Conference contribution

Résumé

We present an automated knowledge synthesis and discovery framework to analyze published literature to identify and represent underlying mechanistic associations that aggravate chronic conditions due to COVID-19. Our literature-based discovery approach integrates text mining, knowledge graphs and medical ontologies to discover hidden and previously unknown pathophysiologic relations, dispersed across multiple public literature databases, between COVID-19 and chronic disease mechanisms. We applied our approach to discover mechanistic associations between COVID-19 and chronic conditions-i.e. diabetes mellitus and chronic kidney disease-to understand the long-term impact of COVID-19 on patients with chronic diseases. We found several gene-disease associations that could help identify mechanisms driving poor outcomes for COVID-19 patients with underlying conditions.

Langue d'origine	English
Titre de la publication principale	MEDINFO 2021
Sous-titre de la publication principale	One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics
Éditeurs	Paula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
Maison d'édition	IOS Press BV
Pages	304-308
Nombre de pages	5
ISBN (électronique)	9781643682648
DOI	https://doi.org/10.3233/SHTI220084
Statut de publication	Published - juin 6 2022
Événement	18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021 - Virtual, Online Durée: oct. 2 2021 → oct. 4 2021

Séries de publication

Prénom	Studies in Health Technology and Informatics
Volume	290
ISSN (imprimé)	0926-9630
ISSN (électronique)	1879-8365

Conference

Conference	18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021
Ville	Virtual, Online
Période	10/2/21 → 10/4/21

Note bibliographique

Publisher Copyright:
© 2022 International Medical Informatics Association (IMIA) and IOS Press.

ASJC Scopus Subject Areas

Biomedical Engineering
Health Informatics
Health Information Management

PubMed: MeSH publication types

Journal Article

ODD de l’ONU

Cette action contribue à la réalisation des objectifs de développement durable suivants

Accès au document

10.3233/SHTI220084

Autres fichiers et liens

Citer

Barrett, M., Abidi, S. S. R., Daowd, A., & Abidi, S. (2022). A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease. Dans P. Otero, P. Scott, S. Z. Martin, & E. Huesing (Éds.), MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics (pp. 304-308). (Studies in Health Technology and Informatics; Vol. 290). IOS Press BV. https://doi.org/10.3233/SHTI220084

A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease. / Barrett, Michael; Abidi, Syed Sibte Raza; Daowd, Ali et al.
MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. éd. / Paula Otero; Philip Scott; Susan Z. Martin; Elaine Huesing. IOS Press BV, 2022. p. 304-308 (Studies in Health Technology and Informatics; Vol. 290).

Résultat de recherche: Conference contribution

Barrett, M, Abidi, SSR, Daowd, A & Abidi, S 2022, A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease. dans P Otero, P Scott, SZ Martin & E Huesing (éds), MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 290, IOS Press BV, pp. 304-308, 18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021, Virtual, Online, 10/2/21. https://doi.org/10.3233/SHTI220084

Barrett M, Abidi SSR, Daowd A, Abidi S. A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease. Dans Otero P, Scott P, Martin SZ, Huesing E, éditeurs, MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. IOS Press BV. 2022. p. 304-308. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI220084

Barrett, Michael ; Abidi, Syed Sibte Raza ; Daowd, Ali et al. / A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease. MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. éditeur / Paula Otero ; Philip Scott ; Susan Z. Martin ; Elaine Huesing. IOS Press BV, 2022. pp. 304-308 (Studies in Health Technology and Informatics).

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A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease

Résumé

Séries de publication

Conference

Note bibliographique

ASJC Scopus Subject Areas

PubMed: MeSH publication types

ODD de l’ONU

Accès au document

Autres fichiers et liens

Empreinte numérique

Citer