Research on the formulation rules of health food for improving sleep based on data mining

Rui Xiao, Fengju Hu, Qing-Mei Pei, Wei Pei, Huawei Tu
{"title":"Research on the formulation rules of health food for improving sleep based on data mining","authors":"Rui Xiao, Fengju Hu, Qing-Mei Pei, Wei Pei, Huawei Tu","doi":"10.1145/3570773.3570840","DOIUrl":null,"url":null,"abstract":"Objective: To analyze the prescription rules of Chinese medicine health foods for improving sleep, and to provide references for the research and development of related health foods. Methods: Retrieve 581 types of sleep-improving Chinese medicine health food data approved before December 2020 from the official website of the State Administration of Market Supervision and Administration (SAMR), establish a health food database and conduct an overall analysis, including dosage form, function, frequency, etc., for raw materials The 109 formula, which is all Chinese herbal medicine, carries out frequency statistics, association rule analysis and visual analysis. Results: There were only 418 kinds of sleep improving effects, including 163 kinds of two or more effects. All of them were Chinese herbal medicines with high frequency of use, such as SEMEN ZIZIPHI SPINOSAE, PORIA and FRUCTUS SCHISANDRAE CHINENSIS. According to the efficacy classification, the top three traditional Chinese medicines with the highest frequency of use were Deficience-tonifying Drugs, Anxiety Drugs and Liver-soothing and Wind Resuscitating Drugs. The combination rule high-frequency drug pair includes RADIX SALVIAE MILTIORRHIZAE → SEMEN ZIZIPHI SPINOSAE; FRUCTUS SCHISANDRAE CHINENSIS, PORIA → SEMEN ZIZIPHI SPINOSAE; RADIX ET CAULIS ACANTHOPANACIS SENTICOSI → SEMEN ZIZIPHI SPINOSAE, etc.; The visualization results of association rule drug pairs show that the core compatibility is SEMEN ZIZIPHI SPINOSAE - PORIA - GINSENG - FRUCTUS SCHISANDRAE CHINENSIS - RHIZOMA GASTRODIAE. It is basically consistent with the principle of improving sleep in traditional Chinese medicine. Conclusion: Data mining and basic theoretical analysis of traditional Chinese medicine on the prescription rules of existing sleep-improving health foods can provide new ideas for the research and development of traditional Chinese medicine health products, so as to give full play to the advantages of traditional Chinese medicine and provide a basis for the public service of Chinese medicine health foods.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3570773.3570840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To analyze the prescription rules of Chinese medicine health foods for improving sleep, and to provide references for the research and development of related health foods. Methods: Retrieve 581 types of sleep-improving Chinese medicine health food data approved before December 2020 from the official website of the State Administration of Market Supervision and Administration (SAMR), establish a health food database and conduct an overall analysis, including dosage form, function, frequency, etc., for raw materials The 109 formula, which is all Chinese herbal medicine, carries out frequency statistics, association rule analysis and visual analysis. Results: There were only 418 kinds of sleep improving effects, including 163 kinds of two or more effects. All of them were Chinese herbal medicines with high frequency of use, such as SEMEN ZIZIPHI SPINOSAE, PORIA and FRUCTUS SCHISANDRAE CHINENSIS. According to the efficacy classification, the top three traditional Chinese medicines with the highest frequency of use were Deficience-tonifying Drugs, Anxiety Drugs and Liver-soothing and Wind Resuscitating Drugs. The combination rule high-frequency drug pair includes RADIX SALVIAE MILTIORRHIZAE → SEMEN ZIZIPHI SPINOSAE; FRUCTUS SCHISANDRAE CHINENSIS, PORIA → SEMEN ZIZIPHI SPINOSAE; RADIX ET CAULIS ACANTHOPANACIS SENTICOSI → SEMEN ZIZIPHI SPINOSAE, etc.; The visualization results of association rule drug pairs show that the core compatibility is SEMEN ZIZIPHI SPINOSAE - PORIA - GINSENG - FRUCTUS SCHISANDRAE CHINENSIS - RHIZOMA GASTRODIAE. It is basically consistent with the principle of improving sleep in traditional Chinese medicine. Conclusion: Data mining and basic theoretical analysis of traditional Chinese medicine on the prescription rules of existing sleep-improving health foods can provide new ideas for the research and development of traditional Chinese medicine health products, so as to give full play to the advantages of traditional Chinese medicine and provide a basis for the public service of Chinese medicine health foods.
基于数据挖掘的睡眠保健食品配方规律研究
目的:分析中药改善睡眠保健食品的处方规律,为相关保健食品的研发提供参考。方法:从国家市场监督管理总局(SAMR)官网检索2020年12月前获批的581种改善睡眠的中药保健食品数据,建立保健食品数据库,对原料进行包括剂型、功能、频次等方面的整体分析,其中109种配方均为中草药,进行频次统计、关联规则分析和可视化分析。结果:共有418种睡眠改善效果,其中两种及以上效果163种。均为使用频率较高的中草药,如紫皮子、茯苓、五味子等。按疗效分类,使用频率最高的中药分别为补虚药、焦虑药和疏肝养风药。高频药物对的组合规则为:丹参→紫皮;五味子,茯苓→酸枣子;刺五加、刺五加、刺五加、刺五加、刺五加等;关联规则药物对的可视化结果表明,其配伍核心为紫皮子-茯苓-人参-五味子-天麻。这与中医改善睡眠的原理基本一致。结论:对现有改善睡眠保健食品的处方规律进行中医数据挖掘和基础理论分析,可以为中药保健品的研发提供新的思路,从而充分发挥中医的优势,为中药保健食品的公共服务提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信