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Administration Rule of Hyperlipidemic Acute Pancreatitis Based on Data Mining

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摘要 Objective:To excavate the medical pattern of hyperlipidemic acute pancreatitis based on Chinese Medicine Inheritance Assistant Platform software,hope to offer ideas for the treatment of the disease.Methods:Inpatient cases admitted to the Department of Gastroenterology of Shenzhen Hospital of Traditional Chinese Medicine for HLAP from September 2013 to June 2020 were collected,information on evidence patterns and formulations was extracted,an Excel database was established and professional terms were standardized,and data mining methods such as association rules and entropy clustering of complex systems were used to analyze medical patterns.Results:The main symbols of HLAP include abdominal pain,abdominal distinction,vomiting,fever,etc.The common used drags include Immature Orange Fruit,Baical Skullcap Root,Rhubarb and Chinese Thorowax Root,etc.The main drug pairs based on association rule analysis are"Baical Skullcap Root,Immature Orange Fruit","Rhubarb,Immature Orange Fruit","Baical Skullcap Root,Rhubarb,Immature Orange Fruit",etc,and 14 drug core combinations and 7 new formulations were extracted.Conclusion:The main synthesis of HLAP are solid-heat knots in the internal organs and dam-heat in the liver and gallbladder,and the formula is based on Da-chai-hu Decoction,the clinical treatment is based on attacking stagnation,activating blood circulation and removing dampness,which can offer reference for the clinical treatment of the disease.
作者 郭玲珑 陈玉意 李京伟 姜小艳 张春虹 黄彬 GUO Ling-long;CHEN Yu-yi;LI Jing-wei;JIANG Xiao-yan;ZHANG Chun-hong;HUANG Bin(The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine,Guangzhou,510000,China;Department of Spleen and Stomach,Shenzhen Hospital of Traditional Chinese Medicine,Shenzhen,518000,China)
出处 《World Journal of Integrated Traditional and Western Medicine》 2022年第2期31-40,共10页 世界中西医结合杂志(英文)
基金 Huang Bin Guangdong Famous Chinese Medicine Studio(Guangdong Chinese Medicine Office Letter[2020]No.1)。
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