[Data mining in traditional Chinese medicine product quality review].

质量(理念) 计算机科学 产品(数学) 过程(计算) 数据挖掘 数据预处理 回归分析 变量 风险分析(工程) 数学 业务 机器学习 哲学 几何学 认识论 操作系统
作者
Sheng Zhang,Hou-Liu Chen,Haibin Qu
出处
期刊:PubMed 卷期号:48 (5): 1264-1272 被引量:1
标识
DOI:10.19540/j.cnki.cjcmm.20221128.301
摘要

The traditional Chinese medicine(TCM) enterprises have accumulated a large amount of product quality review(PQR) data. Mining these data can reveal the hidden knowledge in production and helps improve pharmaceutical manufacturing technology. However, there are few studies involving the mining of PQR data and thus enterprises lack the guidance to analyze the data. This study proposed a method to mine the PQR data, which consisted of 4 functional modules: data collection and preprocessing, risk classification of variables, risk evaluation by batches, and the regression analysis of quality. Further, we carried out a case study of the formulation process of a TCM product to illustrate the method. In the case study, the data of 398 batches of products during 2019-2021 were collected, which contained 65 process variables. The risks of variables were classified according to the process performance index. The risk of each batch was analyzed through short-term and long-term evaluation, and the critical variables with the strongest impact on the product quality were identified by partial least square regression. The results showed that 1 variable and 13 batches were of high risk, and the critical process variable was the quality of the intermediates. The proposed method enables enterprises to comprehensively mine the PQR data and helps to enhance the process understanding and improve the quality control.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
呆啊完成签到,获得积分10
刚刚
yyt发布了新的文献求助10
刚刚
siri完成签到,获得积分10
刚刚
Bonnie发布了新的文献求助50
刚刚
1秒前
追逐123完成签到 ,获得积分10
1秒前
rusellw完成签到,获得积分20
1秒前
刘广池发布了新的文献求助10
1秒前
2秒前
Jasper应助tutu采纳,获得30
2秒前
Lucas应助tutu采纳,获得10
2秒前
科研通AI2S应助tutu采纳,获得10
2秒前
在水一方应助tutu采纳,获得10
2秒前
8R60d8应助tutu采纳,获得10
2秒前
可爱的函函应助tutu采纳,获得10
3秒前
无花果应助tutu采纳,获得10
3秒前
传奇3应助tutu采纳,获得10
3秒前
yn完成签到 ,获得积分10
3秒前
汉堡包应助kk采纳,获得10
3秒前
李恩乐发布了新的文献求助10
4秒前
研友_VZG7GZ应助qiuling采纳,获得200
5秒前
X先生完成签到,获得积分10
6秒前
orixero应助大气摩托采纳,获得10
6秒前
七7发布了新的文献求助10
6秒前
myelin完成签到,获得积分10
7秒前
胖Q完成签到 ,获得积分10
8秒前
zho发布了新的文献求助10
9秒前
9秒前
俞安珊发布了新的文献求助10
9秒前
善学以致用应助X先生采纳,获得10
10秒前
11秒前
13秒前
Makkki完成签到,获得积分10
14秒前
大个应助BreadCheems采纳,获得10
16秒前
领导范儿应助真实的小伙采纳,获得10
17秒前
大气摩托发布了新的文献求助10
17秒前
17秒前
19秒前
NexusExplorer应助迷人幻波采纳,获得10
21秒前
xymm1204完成签到,获得积分10
22秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Very-high-order BVD Schemes Using β-variable THINC Method 830
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3248438
求助须知:如何正确求助?哪些是违规求助? 2891833
关于积分的说明 8268874
捐赠科研通 2559834
什么是DOI,文献DOI怎么找? 1388717
科研通“疑难数据库(出版商)”最低求助积分说明 650798
邀请新用户注册赠送积分活动 627775