Validation And Calibration Of Dietary Intake In Chronic Kidney Disease: An Ontological Approach
Abstract
This study develops a pilot knowledge-based system (KBS) for addressing validation and calibration of dietary intake in chronic kidney disease (CKD). The system is constructed by using Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) to demonstrate how a KBS approach can achieve sound problem solving modeling and effective knowledge inference. In terms of experimental evaluation, data from 36 case patients are used for testing. The evaluation results show that, excluding the interference factors and certain non-medical reasons, the system has achieved the research goal of CKD dietary consultation. For future studies, the problem solving scope can be expanded to implement a more comprehensive dietary consultation system.
Recommended Citation
Chi, Y. L., Chen, T. Y., & Tsai, W. T. (2015). Validation And Calibration Of Dietary Intake In Chronic Kidney Disease: An Ontological Approach. Lecture Notes in Business Information Processing, 208, pp. 102-112. Springer.
The definitive version is available at https://doi.org/10.1007/978-3-319-19027-3_9
Department(s)
Business and Information Technology
Keywords and Phrases
Chronic kidney disease; Knowledge-based system; Ontology; Semantic rules
International Standard Book Number (ISBN)
978-331919026-6
International Standard Serial Number (ISSN)
1865-1348
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2015
Comments
National Science Council, Grant 102-2410-H-033-036-MY2