%0 Journal Article
%T 数据挖掘技术在中医治疗不孕症中的应用现状<br>Application Status of Data Mining Technology in Traditional Chinese Medicine Treatment of Infertility
%A 梁港华
%A 张荣欣
%A 刘阳阳
%J Traditional Chinese Medicine
%P 3358-3365
%@ 2166-6059
%D 2024
%I Hans Publishing
%R 10.12677/tcm.2024.1312500
%X 随着计算机信息技术的蓬勃发展&#65292;数据挖掘技术被越来越广泛地应用于中医学领域中&#65292;研究者可通过数据挖掘技术从纷繁复杂的古籍医案、临床观察、医疗经验中进行知识获取并深入研究。中医学认为不孕症指女子未避孕&#65292;性生活正常&#65292;与配偶同居1年而未孕者&#65292;主要病机为肾气不足、冲任气血失调。文章结合中医药数据化现状&#65292;综述近5年数据挖掘技术在中医治疗不孕症中的应用现状。<br>With the vigorous development of computer information technology, data mining technology has been increasingly applied in the field of traditional Chinese medicine (TCM). Researchers can use data mining technology to acquire and deeply study knowledge from intricate ancient medical records, clinical observations, and medical experiences. In TCM, infertility refers to a woman who has not conceived after one year of unprotected sexual intercourse and cohabitation with her spouse, with the main pathological mechanisms attributed to kidney Qi deficiency and imbalance of Qi and blood in the Chong and Ren meridians. This article reviews the current application status of data mining technology in the treatment of infertility with TCM over the past five years, considering the current state of TCM digitization.
%K 数据挖掘&#65292
%K 中医妇科&#65292
%K 不孕症&#65292
%K 应用现状<br>Data Mining
%K Traditional Chinese Medicine Gynecology
%K Infertility
%K Current Application Status
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=102599