• Journal of Sasang Constitutional Medicine
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• v.22 no.3
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• pp.18-28
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• 2010

1. Objectives: Purpose of this paper is to study the reinterpretation of Taeyang disease(太陽病) in "Shanghanlun(傷寒論)" based on the pathologic perspective of Sa-sang Constitutional Medicine by comparing factors as pathologic mechanisms, clinical symptoms, and remedies. 2. Methods: The texts referred to pathologic mechanisms, clinical symptoms, and remedies of Taeyang disease(太陽病) described in "Donguisusebowon Gabobon(東醫壽世保元 甲午本)", "Donguisusebowon Sinchookbon(東醫壽世保元 辛丑本)", and Shanghanlun(傷寒論)" in "Donguibogam(東醫寶鑑)" were analysed. 3. Results and Conclusions 1) Early phase of Ulgwang symptomatic pattern(鬱狂證 初證) and of Mangyang symptomatic pattern(亡陽證初證) of Kidney Heat-based Exterior Heat disease(腎受熱表熱病), a category of Soeumin(少陰人) diseases, were described by adopting pathologic models of Taeyang-sangpung symptomatic pattern(太陽傷風證) and Sanghan-hyeol symptomatic pattern(傷寒血證) from "Sanghanlun(傷寒論)". 2) Soyang-sangpung symptomatic pattern(少陽傷風證) of Spleen Cold-based Exterior Cold diseae (脾受寒表寒病) and Hyunggyeok-yeol symptomatic pattern(胸膈熱證) of Stomach Heat-based Interior Heat disease(胃受熱裏熱病), categories of Soyangin(少陽人) diseases, were described by adopting pathologic models of Taeyang-yangsangpunghan symptomatic pattern(太陽兩傷風寒證), Soyang-sangpung symptomatic pattern(少陽傷風證) and Tayangbyong-sahak symptomatic pattern(太陽病似瘧證) from "Sanghanlun(傷寒論)". 3) Baechu-pyo symptomatic pattern(背顀表病輕證) and Hangual symptomatic pattern(寒厥證) of Esophagus Cold-based Exterior Cold disease(胃脘受寒表寒病), a category of Taeeumin(太陰人) diseases, was described by adopting pathologic models of Taeyang-sanghan symptomatic pattern(太陽傷寒證) and Hangual symptomatic pattern(寒厥證) from "Sanghanlun(傷寒論)". 4) Je-Ma Lee reinterpreted various diseases classified as Taeyang disease(太陽病) with the pathologic perspective of Sa-sang Constitutional Medicine. Different from existing medicine, diseases were analysed and treated by the standard, constitution of the patient.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.14 no.1
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• pp.57-69
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• 2010

Background: This is a study for building up the database foundation and about graphic structures of Ontology Network systems of Taeyangbyung compilation in Sanghannon in Traditonal Korean Medicine. Therefore, we began to this study about the systematic clinical ontology network systems with priority given to symptoms of Taeyangbyung compilation in Sanghannon. Purpose: We have two goals to carry out this study. The first, we will establish the minimum clinical grouping data sets about symptoms of Taeyangbyung compilation in Sanghannon. The second, we will find out graphic structures of ontology network system in this part, and analysis that. Methods: Through MS office Excel, Access and Netminer software, we will construct the minimum clinical grouping data sets and the graphic structures of ontology network system about symptoms of Taeyangbyung compilation in Sanghannon, and analysis that. Results: We established the minimum clinical grouping data sets about symptoms of Taeyangbyung compilation in Sanghannon through MS Excel and Access software, and constructed the ontology images to structurize our database through Netminer program, and analysis that. Conclusions: Further research about ontology network between symptoms and prescription and three Yang and three Um(Taeyang, Soyang, Yangmyung, Taeum, Soum, Gualum) Disease compilation is necessary.

• The Journal of Korean Medicine
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• v.32 no.1
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• pp.56-66
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• 2011

Background: This was a study to analyze Sanghanron through network theory, as the first attempt to construct network models for systems biomedicine in traditional Korean medicine. For this purpose, we investigated the network structure with priority given to two-node connections between symptoms and herbs of Taeyangbyung compilation in Sanghanron. Purpose: We had three goals in carrying out this study. First, to establish the minimum clinical grouping data sets for symptoms and herbs of Taeyangbyung compilation in Sanghanron. Second, to make index files for the obtained data sets. Third, to generate a network structure for systems biomedicine in this part, and analyze its relationship. Methods: Using MS office Excel and Netminer software, we constructed the minimum clinical grouping data sets and the network for systems biomedicine about symptoms and herbs of Taeyangbyung compilation in Sanghanron, and analyzed its relationship. Results: We established the minimum clinical grouping data sets for symptoms and herbs of Taeyangbyung compilation in Sanghanron, using MS Excel. We constructed a network to structurize our database through two-node connections of Netminer program, and analyzed its relationships. Conclusions: Further research on network model for systems biomedicine between symptoms and herbs for three Yang and three Um(Taeyang, Soyang, Yangmyung, Taeum, Soum, Gualum) disease compilation is necessary.