中醫治療疾病強調辨證論治，但由於臨床上病人症狀的表現往往並不典型，且存在醫師主觀認定之因素，因而影響了由「症」誰「證」的正確性。應用資料探勘技術能由大量的診療記錄中，有效的挖掘出辨證的重要屬性，進而提出客觀的診斷指導原則。本研究將整理中榮中醫科歷年來的病歷資料，記錄其臨床症狀表現、治療原則、與治療成效，以決策樹分類理論對此資料庫進行知識挖掘，提出客觀化的辨證標準，並評估此標準的診斷正確率。

The disease management of traditional Chinese medicine (TCM) emphasizes identify patterns and determine treatment. Due to the symptoms of patients are usually untypical, the correctness of diagnosis has been criticized since the process of inferring symptoms to a particular syndrome is strongly related to doctor's subjectivity. The data mining methods, which effectively filter out attributes essential to TCM diagnosis from massive cases, provide a novel objective therapeutic guideline. In this research work, we explored the medical records of patients who had been visited TCM OPD for chronic cough during years 2004 to 2007. Cases of effective treatments were recorded into the database for data mining. The theory of decision tree was applied on the database to discover the implicit knowledge. The result suggested an objective diagnostic guideline. The correctness of this guideline was also evaluated.