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10.3233/SHTI210187 http://scihub22266oqcxt.onion/10.3233/SHTI210187 34042772!ä!34042772 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stud+Health+Technol+Inform 2021 ; 281 (ä): 392-396 Nephropedia Template TP {{tp|p=34042772|t=2021. A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus and Kidney Diseases |pdf=|usr=}}{{34042772}} gab.com Text A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus and Kidney Diseases JO: Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042772 #FOAvip 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. Twit Text FOAVip A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus and Kidney Diseases ????Stud Health Technol Inform http://www.kidney.de/pget.php?&tw=1&pmid=34042772 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34042772 #FOAvip English Wikipedia <ref>{{Cite pmid|34042772}}</ref> A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabetes Mellitus and Kidney Diseases #MMPMID34042772 Barrett M; Daowd A; Abidi SSR; Abidi S Stud Health Technol Inform 2021[May]; 281 (ä): 392-396 PMID34042772show ga 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. |*COVID-19[MESH] |*Diabetes Mellitus[MESH] |*Kidney Diseases[MESH] |Data Mining[MESH] |Humans[MESH] |Pattern Recognition, Automated[MESH]A Knowledge Graph of Mechanistic Associations Between COVID-19, Diabet(epmc).pdf DeepDyve Pubget Overpricing