Please use this identifier to cite or link to this item:

Title: Validation and calibration of dietary intake in chronic kidney disease: An ontological approach
Authors: Chi, Yu-Liang
Chen, Tsang-Yao
Tsai, Wan-Ting
Contributors: 資管系
Keywords: Calibration;Computational linguistics;Information systems;Knowledge based systems;Modeling languages;Nutrition;Ontology;Semantic Web;Chronic kidney disease;Evaluation results;Experimental evaluation;Interference factor;Ontological approach;Semantic rules;Semantic Web Rule Language(SWRL);Web ontology language;Problem solving
Date: 2015-06
Issue Date: 2017-08-08 16:48:42 (UTC+8)
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. © Springer International Publishing Switzerland 2015.
Relation: Lecture Notes in Business Information Processing, 208, 102-112
18th International Conference on Business Information Systems, BIS 2015; Poznan; Poland; 24 June 2015 到 26 June 2015; 代碼 154159
Data Type: conference
DOI 連結:
Appears in Collections:[資訊管理學系] 會議論文

Files in This Item:

File Description SizeFormat
10.1007_978-3-319-19027-3_9.pdf1461KbAdobe PDF170View/Open

All items in 學術集成 are protected by copyright, with all rights reserved.

社群 sharing