文字探勘技術應用於中醫診斷痤瘡之研究

痤瘡多發於青春期的男女，好發於顏面、胸背等部位，嚴重者會形成結節、膿皰、囊腫，甚至破潰後形成瘢痕，對正值青春期的男女來說，會影響其生理與心理。中醫學為中國千年來知識經驗的流傳，以中醫治療痤瘡，有其獨特的療效與功效，因此，以中醫觀點診斷痤瘡的文獻日益增多。本研究針對大量中醫診斷痤瘡的文獻，以文字探勘技術探討文章之間的關鍵資訊，建立詞庫，並探討詞庫內，詞與詞之間的因果關係，再進一步利用文字探勘技術所產生的重要性分數，探討關鍵詞彙之間的關聯性，並使用資料採礦模組找出不同證型之用藥模式與不同外治法之用藥模式，並找出重要之病因與病機。研究結果顯示，詞庫中以「肺熱」、「風熱」、「血熱」為相對重要的關鍵詞，而在用藥方面「黃芩」、「赤芍」、「丹參」、「連翹」為相對重要的關鍵詞。期望能讓痤瘡臨床上的中醫師與從事中醫學的教育人員，在診斷上能有更明確的了解，甚至提供痤瘡病患基本的自我保健方法。

關鍵字

文字探勘；資料採礦；痤瘡；中醫

並列摘要

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.