揭示了粉的疾病特异性药物治疗模式:对随机对照试验的大规模数据挖掘分析
Yu Lai1, Guoren Chen1, Qiuting Wu1
1School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Journal of ethnopharmacology
|August 4, 2025
概括
粉 (WLP) 是一种传统的中医药,通常与其他疗法相结合. 数据挖掘揭示了在各种条件下使用WLP的具体规则,特别是涉及血液和循环的情况.
科学领域:
- 传统中国医学 (TCM) 是一种
- 药理学 药理学是指药理学的学科.
- 数据挖掘 数据挖掘
- 基于证据的医学基于证据的医学.
背景情况:
- 粉 (WLP) 是一种经典的TCM配方,用于治疗各种疾病.
- 在临床实践中,它经常与其他疗法相结合.
研究的目的:
- 系统地发现WLP的疾病特异性药物规则.
- 使用数据挖掘识别WLP的处方修改模式.
主要方法:
- 从英语和中文数据库中对与WLP相关的随机对照试验 (RCT) 进行系统选.
- 数据提取和数据库构建用于WLP处方信息.
- 关联规则分析,集群分析和潜在结构分析的应用.
主要成果:
- 分析了855个与WLP相关的RCT.
- 解密了特定疾病的药物规则和对WLP的处方修改模式.
- WLP经常与血液激活和静止解决疗法相结合,用于消化,生殖,尿道,循环,肌肉骨和视觉系统疾病以及心力衰竭.
结论:
- 建立了一个基于证据的决策支持框架,用于WLP的临床使用.
- 对RCT的数据挖掘为WLP的治疗应用和组合提供了洞察力.
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