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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	MEDINFO 2021
Subtitle of host publication	One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics
Editors	Paula Otero, Philip Scott, Susan Z. Martin, Elaine Huesing
Publisher	IOS Press BV
Pages	304-308
Number of pages	5
ISBN (Electronic)	9781643682648
DOIs	https://doi.org/10.3233/SHTI220084
Publication status	Published - Jun 6 2022
Event	18th World Congress on Medical and Health Informatics: One World, One Health - Global Partnership for Digital Innovation, MEDINFO 2021 - Virtual, Online Duration: Oct 2 2021 → Oct 4 2021

Publication series

Name	Studies in Health Technology and Informatics
Volume	290
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

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

Bibliographical note

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/SHTI220084

Cite this

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. In P. Otero, P. Scott, S. Z. Martin, & E. Huesing (Eds.), 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. ed. / Paula Otero; Philip Scott; Susan Z. Martin; Elaine Huesing. IOS Press BV, 2022. p. 304-308 (Studies in Health Technology and Informatics; Vol. 290).

Research output: Chapter in Book/Report/Conference proceeding › 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. in P Otero, P Scott, SZ Martin & E Huesing (eds), 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. In Otero P, Scott P, Martin SZ, Huesing E, editors, 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. editor / 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

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

PubMed: MeSH publication types

UN SDGs

Access to Document

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