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Patient-Centered Clinical Trials Decision Support Using Linked Open Data

Patient-Centered Clinical Trials Decision Support Using Linked Open Data

Bonnie MacKellar, Christina Schweikert, Soon Ae Chun
Copyright: © 2018 |Pages: 18
ISBN13: 9781522551911|ISBN10: 1522551913|EISBN13: 9781522551928
DOI: 10.4018/978-1-5225-5191-1.ch080
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MLA

MacKellar, Bonnie, et al. "Patient-Centered Clinical Trials Decision Support Using Linked Open Data." Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 1765-1782. https://doi.org/10.4018/978-1-5225-5191-1.ch080

APA

MacKellar, B., Schweikert, C., & Chun, S. A. (2018). Patient-Centered Clinical Trials Decision Support Using Linked Open Data. In I. Management Association (Ed.), Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications (pp. 1765-1782). IGI Global. https://doi.org/10.4018/978-1-5225-5191-1.ch080

Chicago

MacKellar, Bonnie, Christina Schweikert, and Soon Ae Chun. "Patient-Centered Clinical Trials Decision Support Using Linked Open Data." In Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1765-1782. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5191-1.ch080

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Abstract

Patients often want to participate in relevant clinical trials for new or more effective alternative treatments. The clinical search system made available by the NIH is a step forward to support the patient's decision making, but, it is difficult to use and requires the patient to sift through lengthy text descriptions for relevant information. In addition, patients deciding whether to pursue a given trial often want more information, such as drug information. The authors' overall aim is to develop an intelligent patient-centered clinical trial decision support system. Their approach is to integrate Open Data sources related to clinical trials using the Semantic Web's Linked Data framework. The linked data representation, in terms of RDF triples, allows the development of a clinical trial knowledge base that includes entities from different open data sources and relationships among entities. The authors consider Open Data sources such as clinical trials provided by NIH as well as the drug side effects dataset SIDER. The authors use UMLS (Unified Medical Language System) to provide consistent semantics and ontological knowledge for clinical trial related entities and terms. The authors' semantic approach is a step toward a cognitive system that provides not only patient-centered integrated data search but also allows automated reasoning in search, analysis and decision making using the semantic relationships embedded in the Linked data. The authors present their integrated clinical trial knowledge base development and a prototype, patient-centered Clinical Trial Decision Support System that include capabilities of semantic search and query with reasoning ability, and semantic-link browsing where an exploration of one concept leads to other concepts easily via links which can provide visual search for the end users.

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