네트워크 분석을 통한 천식 치료 처방의 본초 조합 연구 = Network Analysis on the Herbal Combinations in Korean Medicine for Asthma

다국어 초록 (Multilingual Abstract)

This was a study to search and analyze the herbal combinations in prescriptions used to treat asthma in Traditional Korean Medicine (TKM). It also proposed to study the prescriptions in TKM by using various ways compared to the conventional method. Articles on the asthma were searched for from among those registered on the OASIS up to April, 2016. After the articles were reviewed, informations on single medicine and complex prescriptions for asthma were constructed. Then, the herbal combination in the prescription was analyzed by using network analysis and data mining (association analysis). ‘Chuongsangboha-tang’ was the most commonly used original prescription for asthma. The combination of ‘Armeniacae Semen – Scutellariae Radix’ was mostly used in prescriptions to treat asthma in articles. By using the network analysis and data mining, nine effective combinations including ’(Liriopis Tuber, Armeniacae Semen) - (Platycodi Radix, Scutellariae Radix)‘ were discovered. Also, ’Armeniacae Semen’, ‘Mori Cortex Radicis’, ‘Pinelliae Tuber’, ‘Scutellariae Radix’ could be used for differentiating points from other diseases to asthma. Armeniacae Semen was not the most frequent herb medicine used in the prescriptions for asthma especially, but the mostly used for herbal combination. This study could help researchers to analyze the prescriptions in various ways. Moreover, the herbal combination in asthma prescriptions could be used to search for asthma prescriptions in other databases or make a new prescription.

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