英文摘要 |
The care for patients with chronic kidney disease (CKD) is closely related to the patient‘s daily diet management. The type, quantity, and nutrient content of the patient’s food intake need to be strictly controlled. CKD dietary consultation involves multiple knowledge sources and is thus a knowledge-intensive task. We approach the task from the perspective of knowledge system development by constructing related problem solving knowledge into a knowledge model. In addition, considering knowledge sharability and reuse, we adopt an ontological methodology and use OWL (Web Ontology Language) as the modeling language for the development of a dietary consultation knowledge system. In the early stage of the study, we have excluded the interference factors of complications & comorbidities from the knowledge model for scope definition. The constructed knowledge base is then developed into a Web-based knowledge system for better user experience. In terms of experimental evaluation, data from 36 case patients are used for testing. The system’s inference capability was tested, respectively, in clinical condition estimation, theoretical food group recommendation, and key nutrient restriction. The dietitian-advised diet lists are then added to examine the differences between the theoretical and actual intake values. 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. |