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Pracoviště
1st Medical Faculty Charles Universit... 1 BioVentures LLC Little Rock AR 72205 USA 1 Central Biobank Institute of Patholog... 1 Department of Animal Sciences Univers... 1 Department of Biomedical Informatics ... 1 Department of Health Outcomes and Bio... 1 Department of Surgery University of A... 1 Emerging Pathogens Institute Universi... 1 Institute for Digital Health and Inno... 1 Medical Faculty University of Regensb... 1 Trauma Performance Improvement Coordi... 1 eHealth Competence Center Bavaria Deg... 1
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- Autor
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Pracoviště
1st Medical Faculty Charles Universit... 1 BioVentures LLC Little Rock AR 72205 USA 1 Central Biobank Institute of Patholog... 1 Department of Animal Sciences Univers... 1 Department of Biomedical Informatics ... 1 Department of Health Outcomes and Bio... 1 Department of Surgery University of A... 1 Emerging Pathogens Institute Universi... 1 Institute for Digital Health and Inno... 1 Medical Faculty University of Regensb... 1 Trauma Performance Improvement Coordi... 1 eHealth Competence Center Bavaria Deg... 1
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- Nejvíce citované
- Brochhausen, Mathias
- Whorton, Justin M
- Zayas, Cilia E
- Kimbrell, Monica P
- Bost, Sarah J
- Singh, Nitya
- Brochhausen, Christoph
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Sexton, Kevin W
Autor Sexton, Kevin W ORCID Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA Department of Surgery, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA BioVentures LLC, Little Rock, AR 72205, USA
- Blobel, Bernd
PubMed
35629179
PubMed Central
PMC9147545
DOI
10.3390/jpm12050757
PII: jpm12050757
Knihovny.cz E-zdroje
To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis. In creating surgical biobanks, currently, many obstacles must be overcome. Roadblocks exist around scoping of data that is to be collected, and the semantic integration of these data. In this paper, the generic component model and the Semantic Web technology stack are used to solve issues related to data integration. The results are twofold: (a) a scoping analysis of data and the ontologies required to harmonize and integrate it, and (b) resolution of common data integration issues in integrating data relevant to trauma surgery.
- Klíčová slova
- biomedical ontologies, knowledge representation, osteomyelitis, post-traumatic arthritis, semantic data integration, surgical biobank, system theory,
- Publikační typ
- časopisecké články MeSH
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Název dokumentu
Po ukončení testovacího provozu bude odkaz přesměrován adresu produkční verze portálu Medvik.