An Intelligent Warning System of Personal Diet and Medication for Diabetes

• Main Authors: Yen-Min Chien, 簡延閔
• Other Authors: Yuh-Jiuan Tsay
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/52021686087684872819

碩士 === 國立屏東科技大學 === 資訊管理系所 === 101 === According to the International Diabetes Federation (IDF), there are more than two hundred fifty million diabetic patients in the world, and about 1.2 million people suffer from diabetes in Taiwan. Diabetes is also required to strictly pay attention to the elderly with chronic diseases. In average, every ten seconds there is one patient die of diabetes-related diseases and two new patients who get diabetes-related diseases. Diabetes is in the top five cause of death in Taiwan. In this research, based on data mining, it has implemented a system called "An Intelligent Warning System of Personal Diet and Medication for Diabetes" which includes (1) The module of discovering the association rules between personal diet and medication; (2) The module of discovering the common feature of the nutritional intake; (3) The module of long term health analysis. The main purpose aims to aid dietitians and diabetes sickness control blood sugar, combined with physician medication and diet nutritionist, offers patients a complete treatment of diabetes. This system effectively helps patients reduce the incidence of diabetes-related complications and control of nutrient intake volumes, enhance the quality of medical care.