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Discussion on the rules of acupoint selection of professor Shao Ying′ experience in treating infantile functional dyspepsia with massage based on data mining technology |
LI Zhaoxia ZENG Caiyan YU Fangfei SHAO Ying▲ |
Clinical Medical College of Acupuncture-Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangdong Province, Guangzhou 510405, China |
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Abstract Objective To summarize and discuss the rules of acupoint selection of professor Shao Ying in the treatment of infantile functional dyspepsia with infantile massage. Methods From January to September 2019, 139 outpatient medical record prescriptions of children with functional dyspepsia of professor Shao Ying in acupuncture clinic of the First Affiliated Hospital of Guangzhou University of Chinese Medicine and Guangzhou Dongyuantang National Medical Center were collected and sorted out, and 108 infants met the inclusion criteria were statistically analyzed. The prescription database of professor Shao Ying′s massage for children′s functional dyspepsia were established. Microsoft excel 2017, SPSS 23.0 and SPSS Modeler 18.0 were used for frequency analysis, cluster analysis, association analysis and network diagram data mining. Results Among 108 pieces of infantile massage prescriptions, 66 acupoints were involved, with a total frequency of 2519 times. In addition, 10 efficient clusters were acquired from cluster analysis, correlation analysis, and network graph. Among them, the core group was the spleen, the internal gossip, the ridge, and the abdomen. The core of the acupoints were spleen channel, internal eight trigrams, spine and abdomen. Conclusion Professor Shao Ying in treating infantile functional dyspepsia with massage is based on traditional Chinese medicine theory, it is flexible in clinical matching point, and she is good at according to Lingnan climate and infantile constitution to dialectical addition and subtraction. Professor Shao Ying′ academic experience can provide new ideas and references for clinical treatment of this disease.
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