• 한국의사학회지
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• 제35권2호
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• pp.45-67
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• 2022

Currently, there are about 20,000 or so known ancient medical texts from the East Asian medical traditions. Although the most famous texts are widely known, many texts still exist only as original manuscripts. We are interested exploring these texts to uncover the potential benefits of their therapeutic knowledge. This study aims to develop a database program that automatically converts the treatment skills described in the text version into a more structured version. In the previous study, our team analyzed patterns in the way that treatment skills are described and then tried to design a database program algorithm that identified every meaningful keyword used to describe treatment skills and put that word in the right cell of a structured table. This study continues the development of this program. East Asian medical herbal treatment information is broken down into 4 elements: the first one is the name or title of treatment skills, and the second is the symptoms to which the treatment is applied, the third is ingredients used, the fourth is how information is processed and the indications taken. This study presents the algorithm's principles on how to analyze and structure the fourth element, the processing of information and taking of indications, which is described in a form of ancient natural language.