Application of Text mining on Traditional Chinese Medical diagnosing Acne

• Main Authors: Jheng, Ya-Wun, 鄭雅文
• Other Authors: Shia, Ben-Chang
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/64680067131668589689

碩士 === 輔仁大學 === 應用統計學研究所 === 98 === Acne is also called pimples. It most commonly affects the face and the back of shoulder, and it takes the form of tubercles, pustules, or cyst. When the symptom is worse, it may have a scar on the face. The most acne patients are adolescents, and they are more mind their appearance, therefore, they will be affected their physical and mental than others. Traditional Chinese medical can be traced to long time ago. It was ancient’s experiences, and be handed down. According to traditional Chinese medical to cure acne, has unique efficacy and effectiveness. Along with the advances in traditional Chinese medical, there are more and more literatures referring to traditional Chinese medical diagnosing Acne. The purpose of the study was to discover the hidden knowledge between these abundant literatures. First, the sentence in the literatures is divided into many independent phrases. Then, this study uses text mining technique to discover the patterns between key phrases. Finally, this study quantifies the results of text mining, and use data mining technique to discover the associations between different symptoms and Chinese herbs, different external therapies and Chinese herbs. The expectation of the study is to provide Chinese medical educators with a greater understanding to diagnosis acne patients.