A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus and Kidney Diseases.
Stud Health Technol Inform
; 281: 392-396, 2021 May 27.
Article
in English
| MEDLINE | ID: covidwho-1247793
ABSTRACT
This paper proposes 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. We present a literature-based discovery approach that integrates text mining, knowledge graphs and ontologies to discover semantic associations between COVID-19 and chronic disease concepts that were represented as a complex disease knowledge network that can be queried to extract plausible mechanisms by which COVID-19 may be exacerbated by underlying chronic conditions.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Diabetes Mellitus
/
COVID-19
/
Kidney Diseases
Type of study:
Reviews
Limits:
Humans
Language:
English
Journal:
Stud Health Technol Inform
Journal subject:
Medical Informatics
/
Health Services Research
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS