Exploring Use Cases for CovidGraph.

Gütebier, Lea; Henkel, Ron; Niklas, Christian; Waltemath, Dagmar

Gütebier, Lea; Henkel, Ron; Niklas, Christian; Waltemath, Dagmar.

Gütebier L; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Germany.
Henkel R; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Germany.
Niklas C; Institute for Medical Informatics, University Hospital Heidelberg, Germany.
Waltemath D; Department of Medical Informatics, Institute for Community Medicine, University Medicine Greifswald, Germany.

Stud Health Technol Inform ; 302: 747-748, 2023 May 18.

Artículo en Inglés | MEDLINE | ID: covidwho-2323443

ABSTRACT

ABSTRACT

HealthECCO is the driving force behind the COVID-19 knowledge graph spanning multiple biomedical data domains. One way to access CovidGraph is SemSpect, an interface designed for data exploration in graphs. To showcase the possibilities that arise from integrating a variety of COVID-19 related data sources over the last three years, we present three use cases from the (bio-)medical domain.

Availability:

The project is open source and freely available from https//healthecco.org/covidgraph/. The source code and documentation are available on GitHub https//github.com/covidgraph.

Asunto(s)

COVID-19; Humanos; Programas Informáticos; Documentación

Palabras clave

Covid-19; Data integration; Exploration; Knowledge graphs

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2023 Tipo del documento: Artículo País de afiliación: Shti230254

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