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Towards Semantic Data Integration in Resource-Limited Settings for Decision Support on Gait-Related Diseases

Towards Semantic Data Integration in Resource-Limited Settings for Decision Support on Gait-Related Diseases

Olawande Daramola, Thomas Moser
Copyright: © 2021 |Pages: 21
ISBN13: 9781799866978|ISBN10: 1799866971|EISBN13: 9781799866992
DOI: 10.4018/978-1-7998-6697-8.ch012
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MLA

Daramola, Olawande, and Thomas Moser. "Towards Semantic Data Integration in Resource-Limited Settings for Decision Support on Gait-Related Diseases." Advanced Concepts, Methods, and Applications in Semantic Computing, edited by Olawande Daramola and Thomas Moser, IGI Global, 2021, pp. 236-256. https://doi.org/10.4018/978-1-7998-6697-8.ch012

APA

Daramola, O. & Moser, T. (2021). Towards Semantic Data Integration in Resource-Limited Settings for Decision Support on Gait-Related Diseases. In O. Daramola & T. Moser (Eds.), Advanced Concepts, Methods, and Applications in Semantic Computing (pp. 236-256). IGI Global. https://doi.org/10.4018/978-1-7998-6697-8.ch012

Chicago

Daramola, Olawande, and Thomas Moser. "Towards Semantic Data Integration in Resource-Limited Settings for Decision Support on Gait-Related Diseases." In Advanced Concepts, Methods, and Applications in Semantic Computing, edited by Olawande Daramola and Thomas Moser, 236-256. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-6697-8.ch012

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Abstract

Resource-limited settings (RLS) are characterised by lack of access to adequate resources such as ICT infrastructure, qualified medical personnel, healthcare facilities, and affordable healthcare for common people. The potential for the application of AI and clinical decision support systems in RLS are limited due to these challenges. Towards the improvement of the status quo, this chapter presents the conceptual design of a framework for the semantic integration of health data from multiple sources to facilitate decision support for the diagnosis and treatment of gait-related diseases in RLS. The authors describe how the framework can leverage ontologies and knowledge graphs for semantic data integration to achieve this. The plausibility of the proposed framework and the general imperatives for its practical realisation are also presented.

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