A Study on the Application of Data Mining on Customer Relationship Management for the Health Examination database

• Main Authors: Kuan-Yu Lin, 林冠余
• Other Authors: Chun-Wei Lin
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/49462714868773997770

碩士 === 國立雲林科技大學 === 全球運籌管理研究所碩士班 === 97 === Health examinations is the one part of medical service in prevention medicine, while health management is becoming to the goal of development of health exam. Although the hospital has large amounts of information and data about health examination of the patients. Including the patient’s base information and disease data. The example of apply of data of health examination to advance the customer relationship management is rare. In our study, we evaluated data of the examination of one district teaching hospital in middle Taiwan. Our study divide two stage. In one stage we used the K-means analysis method to find the custom groups of health examination database. In two stage, we used the C5.0 decision tree classification to find the demands of goal customers. So we established predict models of function tree in systems of liver, GI, kidney, lipid, electrolyte, complete blood check(CBC) and thyroid. These predict models have high accurate rate. ( GI 88.5%, Kidney 100%, Lipid 98.51%, Electrolyte 92.59%, CBC 76.43%, Thyroid 95.79%).