Expediting knowledge acquisition by a web framework for Knowledge Graph Exploration and Visualization (KGEV): case studies on COVID-19 and Human Phenotype Ontology.

Peng, Jacqueline; Xu, David; Lee, Ryan; Xu, Siwei; Zhou, Yunyun; Wang, Kai

Peng, Jacqueline; Xu, David; Lee, Ryan; Xu, Siwei; Zhou, Yunyun; Wang, Kai.

Afiliación

Peng J; Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Xu D; School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Lee R; School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Xu S; College of Arts and Sciences, Emory University, Atlanta, GA, 30322, USA.
Zhou Y; Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. zhouy6@chop.edu.
Wang K; Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA. wangk@chop.edu.

BMC Med Inform Decis Mak ; 22(Suppl 2): 147, 2022 06 02.

Article en En | MEDLINE | ID: mdl-35655307

Asunto(s)

COVID-19; Humanos; Pandemias; Reconocimiento de Normas Patrones Automatizadas; Fenotipo; Reproducibilidad de los Resultados

Palabras clave

COVID-19; Data visualization; Information extraction; Knowledge discovery; Knowledge graph

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Prognostic_studies Idioma: En Revista: BMC Med Inform Decis Mak Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article

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