基于数据挖掘探析贾六金教授治疗儿童慢性咳嗽的用药特点

doi:10.3969/j.issn.1674-3865.2021.06.017

Abstract

Abstract: Objective To study the medication features of Prof. Jia Liujin in treating children with chronic cough based on the TCM inheritance Auxiliary System(V2.5).Methods The prescriptions of 152 cases of chronic cough in children were collected, who visited Prof. Jia Liujin's in the Outpatient Department of Affiliated Hospital of Shanxi Medical University from May 2018 to May 2020.The case database was established by the TCM inheritance platform software. The association rules and complex system entropy clustering were employed to analyze the frequency of medication, the rules of prescribing and the novel formulars based on Prof. Jia Liujin's academic experience in treating children with chronic cough.Results A total of 377 prescriptions were screened and collected. Among 111 kinds of Chinese drugs, the frequency was over 30% for 20 drugs, including ginger pinellia, tangerine peel, poria cocos, platycodon grandiflorum, apricot, and herba ephedrae, the frequency of drug combination was over 40% was ginger pinellia-tangerine peel, ginger pinellia-poria cocos, and tangerine peel-poria cocos; the core prescription was San'ao decoction with Liujunzi decoction;meanwhile,8 novel formulars were developed.Conclusion The treatment of chronic cough in children by Prof. Jia Liujin is mainly based on the theory of "sputum and deficiency", and the medication is mainly for moistening tonification assisted by warming and smoothing. It is based on five organs and focuses on tonifying lung and spleen and eliminating evil.The medication is made based on clinical symptoms.

Key words:

Chronic cough, Data mining, Medication features, San'ao decoction with Liujunzi decoction

WANG Panpan, CHEN Mei, YANG Lili, ZHANG Yan. Medication features of Professor Jia Liujin in treating children with chronic cough based on data mining[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2021, 13(6): 522-525.

[1]	Huafang LIANG, Na GAN, Lining WANG, Jianshu WEI, Yi LIANG. Analysis of medication rules and clinical experience of Professor Wang Lining in treating pediatric recurrent respiratory tract infections during the acute infection phase [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2026, 18(5): 425-429.
[2]	Jiahui LIU, Hanjing WANG, Yuting ZHANG, Xue LAN, Weiwei LIU. Medication characteristics of traditional Chinese medicine in the treatment of Helicobacter pylori infection-related recurrent abdominal pain in children: a data mining analysis [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2026, 18(5): 430-435.
[3]	Baoyi HUANG, Lichen YI, Yabin CHEN, Hua XU. Exploring Professor Xu Hua's experience in treating pediatric patients post-hematopoietic stem cell trans⁃plantation based on data mining [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2026, 18(2): 157-167.
[4]	Lipeng SHAO, Yan HU. Exploring the treatment for childhood tic disorders by the Huxiang Medical School based on data mining [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2026, 18(1): 54-59.
[5]	Qing WANG, Yaqin CHEN, Danfei YIN, Suli WANG, Xiaoming WANG. Exploration of prescription patterns in Professor Wang Xiaoming's treatment for pediatric food accumulation and stagnation based on data mining [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2025, 17(6): 466-471.
[6]	Yuanhang SUN, Dongmei LI. Data mining-based analysis of medication patterns of modern renowned traditional Chinese medicine physicians for tic disorders [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2025, 17(4): 281-286.
[7]	Yali CUI, Ke CHANG. Data mining of medication rules of Professor Chang Ke in the treatment of cough in children [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2025, 17(3): 264-269.
[8]	XU Jiaye, CHENG Shen, YANG Yufang, CHEN Yuyan, LI Ling, CHEN Yaqin, WANG Xiaoming. Research in Professor Wang Xiaoming′s diagnosis and treatment rules of childhood recurrent abdominal pain based on data mining [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2024, 16(5): 449-454.
[9]	ZHANG Haochen, ZHANG Baoqing, WANG Xinxin, PAN Yueli. Discussion of Professor Zhang Baoqing′s medication rules in treating tic disorders in children based on data mining [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2024, 16(4): 349-354.
[10]	SHAO Lingyang, WANG Hai. Study on medication rules in the treatment of eczema and atopic dermatitis based on national patent Chinese herbal compound prescriptions [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2024, 16(1): 80-84.
[11]	GONG Zehui, QIN Man. Data mining of medication rules for neurogenic frequent urination of kidney deficiency and dampness-heat type in children [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2023, 15(4): 359-364.
[12]	CHE Zhao, YANG Yuxiao, ZHANG Jingyi, CHANG Ke. Data mining of medication rules of Professor Chang Ke in the treatment of allergic rhinitis in children [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2023, 15(3): 267-272.
[13]	XIE Yuqing, XIA Lihong. Medication rules of Chinese medicines in the treatment of pediatric eczema based on the Chinese Medical Classics [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2023, 15(3): 262-267.
[14]	CAO Xue, DUAN Xiaozheng, BAO Zhixin, SUN Linlin, CHENG Yu, ZENG Jingyun. Analysis of medication rules of traditional Chinese medicine for children with recurrent respiratory tract infection based on data mining [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2023, 15(2): 181-185.
[15]	SUN Jiaxiang, DU Songhao, QIN Man. Discussion on the medication rules of Professor Qin Man in the treatment of infantile Henoch-Sch-nlein purpura based on data mining technology [J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2023, 15(2): 93-98.

Medication features of Professor Jia Liujin in treating children with chronic cough based on data mining

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments