Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective
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 diagnose...
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MDPI AG
2022-05-01
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Series: | Journal of Personalized Medicine |
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Online Access: | https://www.mdpi.com/2075-4426/12/5/757 |
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author | Mathias Brochhausen Justin M. Whorton Cilia E. Zayas Monica P. Kimbrell Sarah J. Bost Nitya Singh Christoph Brochhausen Kevin W. Sexton Bernd Blobel |
author_facet | Mathias Brochhausen Justin M. Whorton Cilia E. Zayas Monica P. Kimbrell Sarah J. Bost Nitya Singh Christoph Brochhausen Kevin W. Sexton Bernd Blobel |
author_sort | Mathias Brochhausen |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T03:35:25Z |
format | Article |
id | doaj.art-17f69d6976a5421eae26b8f509917c0f |
institution | Directory Open Access Journal |
issn | 2075-4426 |
language | English |
last_indexed | 2024-03-10T03:35:25Z |
publishDate | 2022-05-01 |
publisher | MDPI AG |
record_format | Article |
series | Journal of Personalized Medicine |
spelling | doaj.art-17f69d6976a5421eae26b8f509917c0f2023-11-23T11:44:15ZengMDPI AGJournal of Personalized Medicine2075-44262022-05-0112575710.3390/jpm12050757Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation PerspectiveMathias Brochhausen0Justin M. Whorton1Cilia E. Zayas2Monica P. Kimbrell3Sarah J. Bost4Nitya Singh5Christoph Brochhausen6Kevin W. Sexton7Bernd Blobel8Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USATrauma Performance Improvement Coordinator, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USADepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL 32611, USADepartment of Animal Sciences, University of Florida, Gainesville, FL 32611, USACentral Biobank, Institute of Pathology, University and University Clinic of Regensburg, 93053 Regensburg, GermanyDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USAMedical Faculty, University of Regensburg, 93053 Regensburg, GermanyTo 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.https://www.mdpi.com/2075-4426/12/5/757surgical biobankpost-traumatic arthritisosteomyelitissemantic data integrationsystem theorybiomedical ontologies |
spellingShingle | Mathias Brochhausen Justin M. Whorton Cilia E. Zayas Monica P. Kimbrell Sarah J. Bost Nitya Singh Christoph Brochhausen Kevin W. Sexton Bernd Blobel Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective Journal of Personalized Medicine surgical biobank post-traumatic arthritis osteomyelitis semantic data integration system theory biomedical ontologies |
title | Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective |
title_full | Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective |
title_fullStr | Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective |
title_full_unstemmed | Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective |
title_short | Assessing the Need for Semantic Data Integration for Surgical Biobanks—A Knowledge Representation Perspective |
title_sort | assessing the need for semantic data integration for surgical biobanks a knowledge representation perspective |
topic | surgical biobank post-traumatic arthritis osteomyelitis semantic data integration system theory biomedical ontologies |
url | https://www.mdpi.com/2075-4426/12/5/757 |
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