Design of Intelligent Context-Aware Healthcare System Based on Ontology Method

• Main Authors: Chen, Shiau-Lei, 陳小蕾
• Other Authors: Kung, Hsu-Yang
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/23318540011689754100

碩士 === 國立屏東科技大學 === 資訊管理系所 === 98 === With the change of diet habit and lifestyle in Taiwan, the quantity of chronic disease patients is becoming more and more. Therefore, we propose the Complex Ontology (CO) which includes Medical Ontology (MO) and Diet Ontology (DO) to build the diet limitations. For ontology description and building, we refer ICD-CM (International Classification of Diseases, Clinical Modification) and dietitian’s recommendation to define and classify the diseases into MO and the foods into DO, respectively. Finally, we use the Knapsack Problem Algorithm (KPA) to infer the optimum food collocation according to user’s physiology state, health, and diet preference. In this study, we implement the Intelligent Context-Aware Healthcare System (ICHS) based on CO for the chronic disease patients (e.g. hypertension). The ICHS can collect the user’s physiology state and diet preference through sensor devices to infer user’s diseases and retrieve the diet limitations (e.g. sodium) according to MO and DO. Afterward, the ICHS infers the optimum food collocation by KPA for diet recommendation.