Analysis on CHEN Jinghe' s Prescription Rule for Insomnia Based on Data Mining
ZHUANG Yiyang
ZHOU Rui
LU Yinyin
LI Rong
YANG Xiaohong
Abstract：Objective:To explore the prescription rule for insomnia of Professor CHEN Jinghe. Methods:The insomnia cases treated by Professor CHEN Jinghe were the research objects, and the prescription and herbs were input to the Traditional Chinese Medicine Inheritance Support System to establish a prescription database. The prescription rule for insomnia were analyzed by using data mining methods such as association rules, complex system entropy clustering, and improved mutual information method. Results: Based on the analysis of 245 effective prescriptions, the frequency of each herb and association rules among the herbs were determined, and 18 core combinations and 9 new prescriptions were excavated from the database. Conclusion: The herbs in prescriptions for treating insomnia mainly with functions like tonifying qi, regulating qi, tonifying blood and calming the mind. Such herbs follow the principle like invigorating the spleen and smoothing the liver, tranquilizing the heart and calming the mind, and indicate the academic though of tonifying the deficiency and purging the excess.
Keywords：CHEN Jingheinsomniaprescription ruledata miningTraditional Chinese Medicine Inheritance Support System
Publication Date：2018-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：4( 506-509 )