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Carnival: A Graph-Based Data Integration and Query Tool to Support Patient Cohort Generation for Clinical Research.
Birtwell, David; Williams, Heather; Pyeritz, Reed; Damrauer, Scott; Mowery, Danielle L.
Affiliation
  • Birtwell D; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA.
  • Williams H; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA.
  • Pyeritz R; Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Damrauer S; Department of Vascular Surgery, University of Pennsylvania, Philadelphia, PA, USA.
  • Mowery DL; Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA.
Stud Health Technol Inform ; 264: 35-39, 2019 Aug 21.
Article in En | MEDLINE | ID: mdl-31437880
ABSTRACT
Clinical research studies often leverage various heterogeneous data sources including patient electronic health record, online survey, and genomic data. We introduce a graph-based, data integration and query tool called Carnival. We demonstrate its powerful ability to unify data from these disparate data sources to create datasets for two studies prevalence and incidence case/control matches for coronary artery disease and controls for Marfan syndrome. We conclude with future directions for Carnival development.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Information Storage and Retrieval / Electronic Health Records / Data Analysis Type of study: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2019 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Information Storage and Retrieval / Electronic Health Records / Data Analysis Type of study: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2019 Document type: Article Affiliation country: United States
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