中藥古籍之關聯分析-以普濟方消渴門為例;Mining associations on ancient Chinese medicine literatures: a case study of the Xiaoke section in Pu-ji-Fang.

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题名:	中藥古籍之關聯分析-以普濟方消渴門為例;Mining associations on ancient Chinese medicine literatures: a case study of the Xiaoke section in Pu-ji-Fang.
作者:	蘇祐廷;Su, You-Ting
贡献者:	系統生物與生物資訊研究所
关键词:	傳統中藥;關聯分析;普濟方;Traditional Chinese Medicines;Association rule;Pu-Ji-Fang
日期:	2024-07-15
上传时间:	2024-10-09 15:40:18 (UTC+8)
出版者:	國立中央大學
摘要:	現代醫學領域中對中醫藥的研究逐漸增多，其中不乏試圖驗證中醫藥材對特定疾病的療效。若能推論中醫藥材組合與疾病的相關性，對於研究中醫藥的領域能有望節省大量成本。本研究旨在透過資料探勘技術，分析中醫古籍《普濟方》一書內常見藥材組合與疾病分類的關聯性。整合文字探勘、關聯式分析、統計分析和基於當前草藥研究文獻的案例研究的綜合方法。首先，將已提取的普濟方相關文字數據進行資料處理，以篩選出符合條件處方與草藥關鍵詞。其次，應用關聯式分析來識別數據中的頻繁共現，揭示症狀與草藥組合之間的潛在關係。第三，採用卡方檢定進行分析，以評估所發現關聯的顯著性。最後，與目前的研究文獻進行比較與驗證。以普濟方內”消渴”章節為例，”消渴”在現代醫學中被認為屬於糖尿病中後期的症狀描述。我們通過上述資料探勘的流程得出數種與消渴門有顯著關聯的組合，接著挑選出較常見的組合並進行文獻查閱，進一步確認了現代醫學在糖尿病方面有文獻支持含有上述藥草組合的中藥處方對糖尿病有顯著的治療效果。通過此流程對中藥材古籍的系統性研究提供了可行的方法，擴展中醫古籍在現代醫學中的研究方式。;In modern medicine, research on traditional Chinese medicine (TCM) is increasing, with numerous studies attempting to verify the efficacy of TCM herbs for specific diseases. If we can infer the correlation between TCM herb combinations and diseases, it could significantly reduce costs in the field of TCM research. This study aims to analyze the association between common herb combinations and disease classifications in the ancient Chinese medical text "Pu-ji-Fang(普濟方)" using data mining techniques. We will integrate text mining, association analysis, statistical analysis, and case studies based on current herbal research literature.First, we will process the extracted text data from "Pu-ji-Fang" to filter out eligible prescriptions and herb keywords. Second, we will apply association analysis to identify frequent co-occurrences in the data, revealing potential relationships between symptoms and herb combinations. Third, we will use chi-square tests to evaluate the significance of the discovered associations. Finally, we will compare and verify these findings with current research literature. Using the "Xiaoke(消渴)" section in "Pu-ji-Fang" as an example, "Xiaoke" is considered to describe symptoms of late-stage diabetes in modern medicine. Through the aforementioned data mining process, we identified several herb combinations significantly associated with "Xiaoke." We then selected the more common combinations and reviewed the literature, further confirming that modern medical research supports the effectiveness of TCM prescriptions containing these herb combinations for treating diabetes. This process provides a feasible method for systematically studying TCM classics, expanding the research approach of TCM literature in modern medicine.
显示于类别:	[系統生物與生物資訊研究所] 博碩士論文

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