Data Mining-Based Analysis for Salt-Related Traditional Chinese Medicine Herbal Formulas in the Treatment of Urogenital Dysfunctions

传统医学 草本植物 医学 中医药 涩的 汤剂 中草药 子午线(天文学) 草药 替代医学 心理学 天文 品味 物理 病理 神经科学
作者
P. Li,Nannan Liu,Jie Wang,Tingting Deng,Yuxian Zhang,P. Xiao,Luming Qi,Kaidi Nie,Lina Xia
出处
期刊:Indian Journal of Pharmaceutical Sciences [OMICS Publishing Group]
卷期号:84 (S5)
标识
DOI:10.36468/pharmaceutical-sciences.spl.604
摘要

To analyze the rules of salt-related traditional Chinese medicine herbal formulas of urogenital dysfunctions using data mining, the results could provide novel prescriptions and give suggestions to clinical application. The data mining methods used in this study including frequency analysis, cluster analysis and association rule. A total of 108 formulas involving 141 herbs were included in this study. The most frequently used herb is Poria (Fuling). The top three categories were deficiency-tonifying herbs (34.07 %), astringent herbs (11.85 %) and emetic herbs (10.09 %). The properties of the herbs were mainly being warm (403), cold (334) and calm (304). The tastes of the herbs were mainly sweet (699) and bitter (316). The main meridian tropisms were kidney meridian of foot-shaoyin (726), liver meridian of foot-Jueyi (418), spleen meridian of foot-Taiyin (406). The main formulas for spermatorrhea are Yangxin Zishen pill (71). The top two formulas of stranguria were Bixie Fenqing decoction (1354). According to the cluster analysis, the high-frequency herbs were divided into 8 salt-related categories. According to association rule analysis, 16 common salt-related couplets medicines were obtained. The treatment of urogenital dysfunctions is mostly clearing, tonifying and astringing methods. The law of medicines compatibility and the application of meridian ushering herbs have high reference value for the clinical treatment of urogenital dysfunctions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
隐形曼青应助乐观期待采纳,获得10
刚刚
呆萌的孤云完成签到,获得积分10
1秒前
三三发布了新的文献求助10
1秒前
2秒前
yangyajie发布了新的文献求助10
2秒前
阿六完成签到,获得积分10
2秒前
抹茶肥肠发布了新的文献求助10
3秒前
无名完成签到,获得积分10
6秒前
爱静静应助湜迩采纳,获得10
6秒前
聪明纸飞机完成签到,获得积分10
6秒前
和谐夏彤完成签到,获得积分10
7秒前
7秒前
一条蛆完成签到 ,获得积分10
8秒前
10秒前
10秒前
youete完成签到,获得积分10
10秒前
11秒前
胖丁应助申申采纳,获得10
13秒前
我是站长才怪应助负减淇采纳,获得10
13秒前
烟花应助Yiyyan采纳,获得10
13秒前
yan关注了科研通微信公众号
14秒前
14秒前
研友_VZG7GZ应助噜噜噜噜噜采纳,获得10
14秒前
wsqg123完成签到,获得积分10
15秒前
南北发布了新的文献求助10
15秒前
欢呼冰岚发布了新的文献求助30
15秒前
Eurus完成签到,获得积分10
15秒前
慕青应助CING采纳,获得10
16秒前
大鱼发布了新的文献求助10
16秒前
Baby发布了新的文献求助10
17秒前
可乐加冰完成签到,获得积分10
17秒前
wawuuuuu发布了新的文献求助20
17秒前
刘shuchang完成签到 ,获得积分10
18秒前
阿叶同学完成签到,获得积分10
18秒前
21秒前
大个应助南北采纳,获得10
23秒前
lxd应助狂野的笑天采纳,获得30
23秒前
科研小民工应助km采纳,获得30
23秒前
ZRBY发布了新的文献求助10
23秒前
123号发布了新的文献求助10
25秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
读者个体因素对汉语阅读中眼动行为的影响 710
Conference Record, IAS Annual Meeting 1977 610
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3560229
求助须知:如何正确求助?哪些是违规求助? 3134388
关于积分的说明 9407260
捐赠科研通 2834527
什么是DOI,文献DOI怎么找? 1558164
邀请新用户注册赠送积分活动 727912
科研通“疑难数据库(出版商)”最低求助积分说明 716602