Your browser doesn't support javascript.
loading
Analysis of the evolution of COVID-19 disease understanding through temporal knowledge graphs.
Negro, Alessandro; Montagna, Fabio; Teng, Michael N; Neal, Tempestt; Thomas, Sylvia; King, Sayde; Khan, Ridita.
Affiliation
  • Negro A; Graph Aware Ltd., London, United Kingdom.
  • Montagna F; Graph Aware Ltd., London, United Kingdom.
  • Teng MN; Division of Allergy and Immunology, Department of Internal Medicine, University of South Florida Morsani College of Medicine, Tampa, FL, United States.
  • Neal T; Cyber Identity and Behavior Research Laboratory, Department of Computer Science and Engineering, College of Engineering, University of South Florida, Tampa, FL, United States.
  • Thomas S; Advanced Membrane and Materials Bio and Integration Research Laboratory, Department of Electrical Engineering, College of Engineering, University of South Florida, Tampa, FL, United States.
  • King S; Cyber Identity and Behavior Research Laboratory, Department of Computer Science and Engineering, College of Engineering, University of South Florida, Tampa, FL, United States.
  • Khan R; Advanced Membrane and Materials Bio and Integration Research Laboratory, Department of Electrical Engineering, College of Engineering, University of South Florida, Tampa, FL, United States.
Front Res Metr Anal ; 8: 1204801, 2023.
Article in En | MEDLINE | ID: mdl-37601534
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Res Metr Anal Year: 2023 Type: Article Affiliation country: United kingdom
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Res Metr Anal Year: 2023 Type: Article Affiliation country: United kingdom