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10.3233/SHTI220084

http://scihub22266oqcxt.onion/10.3233/SHTI220084
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35673023!ä!35673023

suck abstract from ncbi


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pmid35673023      Stud+Health+Technol+Inform 2022 ; 290 (ä): 304-308
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  • A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus, and Chronic Kidney Disease #MMPMID35673023
  • Barrett M; Abidi SSR; Daowd A; Abidi S
  • Stud Health Technol Inform 2022[Jun]; 290 (ä): 304-308 PMID35673023show ga
  • 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.
  • |*COVID-19[MESH]
  • |*Diabetes Mellitus/epidemiology[MESH]
  • |*Renal Insufficiency, Chronic/epidemiology[MESH]
  • |Chronic Disease[MESH]
  • |Humans[MESH]


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