[1] |
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.
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[2] |
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.
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[3] |
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.
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[4] |
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.
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[5] |
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.
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[6] |
SUN Jiaxiang, DU Songhao, QIN Man.
Discussion on the
medication rules of Professor Qin Man in the treatment of infantile Henoch-Schnlein purpura based
on data mining technology
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2023, 15(2): 93-98.
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[7] |
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.
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[8] |
GAO Kuijie, YANG Dongxin, DAI Huimin, LIN Jianyao, ZHANG Hengshan, LYU Ying.
Research on the
prescription rules of prestigious Chinese physician Wang Boyue in the treatment
of pediatric diseases based on
data mining
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2023, 15(1): 56-60.
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[9] |
CHEN Yaqin, JIANG Shimeng, CHEN Yuyan.
Study on the rule of
selecting auricular acupoints for the treatment of children's multiple tics by
data mining technology
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2022, 14(5): 437-440.
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[10] |
SONG Yehong, CAO Zhiyuan, DIAO Juanjuan.
Research on clinical data mining of traditional Chinese medicine in the treatment of Henoch-Schnlein purpura damp heat syndrome
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2022, 14(4): 355-360.
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[11] |
WAN Shifang, LI Xian, ZHAO Qiong, ZHOU Hongyun, ZHAO Mengjie, HUO Bixiu.
Analyzing the medication rules of traditional Chinese medicine treatment for constipation in children based on data mining technology
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2022, 14(3): 246-250.
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[12] |
LU Yuqiang, FU Lin, HAO Yuqi, DING Hui, SHI Zhaoling, LI Ruying, ZHANG Guocheng.
Study on the medication rule of Chinese medicine against influenza virus based on data mining
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2022, 14(2): 101-105.
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[13] |
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.
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[14] |
XU Shan, WU Yanming, WANG Shouchuan.
Analysis of Professor Wang Shouchuan's medication rules fordiarrhea due to spleen deficiency in children based on data mining technology
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2021, 13(5): 447-450.
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[15] |
WANG Xuefei, WU Zhenqi, REN Yuanyuan, ZHONG Runfeng.
Research on children′s chronic cough syndrome based on association rule apriori algorithm
[J]. Chinese Pediatrics of Integrated Traditional and Western Medicine, 2021, 13(3): 208-212.
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