實作飲食本體結合決策樹之慢性病飲食推薦系統

The Implementation of Chronic Diet Recommendation System Based on Dietary Ontology and Decision Tree

羅育文(YU-WEN LO)

指導教授 ： 陳榮靜

朝陽科技大學/資訊學院/資訊管理系/碩士(2016年)

摘要

在台灣，由於醫療水平的進步，使得國民平均壽命增加，但現代人生
活型態的轉變，礙於工作或其他因素導致生活作息與飲食的不正常，容易
導致糖尿病、高血壓等慢性病的發生。而這些慢性病通常需要定期的醫院
去做追蹤檢查外，對於日常的飲食管理也有助於減緩病情與併發症的發生
率。也因此飲食管理也變成近年來非常重要且熱門的議題。良好的飲食控
制除了能維持身體健康外，針對有糖尿病，高血壓等慢性病患者更可以有
效的控制住病情。本研究結合飲食本體、Jena 推論與決策樹提出一個針對
糖尿病或高血壓等慢性病患的飲食推薦系統，透過本體與Jena 推論來根據
患者的飲食偏好來推薦食物，並結合決策樹來計算出每日用戶所需的營養
素控制，達成每日均衡飲食的目標。

關鍵字

本體論 ； 飲食推薦 ； Jena ； 決策樹 ； 慢性病

並列摘要

Due to the improvement level of medical technology, the person's average
age has increased in Taiwan. Lifestyle changes such as unhealthy diet, work
pressure and other factor will result chronic disease like diabetic, hypertension and so on. These chronic diseases usually need to spend a lot of time for examinations in hospital; the daily diet management also can help reducing the incidence of the disease and complications. Therefore, the dietary management has become very popular and important topic in recent years. The healthy diet not only to maintain good health, but also assist to reduce this chronic disease and the complication happening. Based on these reasoning, we design a new diet recommendation system based on food Ontology, Jena reasoning and decision tree for patients with diabetes or hypertension and other chronic diseases. Using Ontology and Jena reasoning to recommends suitable food according to user diet preferences, and combine with decision tree to calculate user’s daily nutrients to reach a balanced diet management.

並列關鍵字

Ontology ； Diet recommend ； Jena ； Decision tree ； Chronic diseases

參考文獻

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