中醫發展至今已經是一種完整的治療系統，包含草藥治療、穴位治療等，近年來，在全世界變得越來越流行。穴位治療是透過刺激穴位改善經脈中氣的流向，達到治療效果，部分疾病之穴位治療療效於臨床醫學實驗中已經被證實，相較於服用藥物，穴位治療能有效緩解疾病，更能減少副作用，故是值得被拿來討論的議題。
隨著數據科學的快速發展，越來越多人開始嘗試挖掘大數據這塊領域，在本論文中，會收集不同派別的書籍資料及穴位治療的臨床研究文章，以這些大量的資料來探索疾病-穴位間關聯，並將關聯視覺化，探索視覺化圖形的意涵，最後建造一個穴位治療諮詢的聊天機器人，以對話的方式提供使用者詢問疾病的穴位治療方法。

The development of traditional Chinese medicine has been a complete treatment system, including herbal treatment, acupoint treatment, etc. In recent years, it has become more and more popular around the world. Acupoint treatment is to improve the flow of ‘qi’ in the meridians by stimulating acupuncture points to achieve therapeutic effects. The therapeutic effects of acupoint-treatment for some diseases have been confirmed in clinical medical experiments. Compared to take drugs, acupoint-treatment can effectively alleviate the disease without side effects. Therefore, the issue is worth discussed.
With the rapid development of data science, more and more people are trying to explore the field of big data. In our work, we collect data about acupoint-treatment from books of different factions and clinical research articles. We analyze the disease-acupoint correlation with the large amounts of these data, and visualize these connections to explore the meaning of visual graphics. Finally, we develop a chat robot for acupoint-treatment consultation. Users can ask about the acupoint-treatment of the disease through conversation.

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