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KMID : 0644020230360020023
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Journal Of Korean Medical Classics
2023 Volume.36 No. 2 p.23 ~ p.34
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A Strategy for Disassembling the Traditional East Asian Medicine Herbal Formulas With Machine Learning
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Oh Jun-Ho
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Abstract
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Objectives : We propose a method to disassemble Traditional East Asian Medicine herbal formulas using machine learning.
Methods : After creating a model using Byte Pair Encoding(BPE) and G-Score, the model was trained with training data. Afterwards, the learned model was applied to the test data, of which the results were compared with expert opinion.
Results : The results acquired through the model were not significantly different from those of modern expert opinions. However, there were cases where the meaning was partially unclear, while there were cases where new knowledge could be obtained through the disassembling process.
Conclusions : It is expected that disassembling herbal formulas through the proposed method in this study will help save resources required to understand complex ones.
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KEYWORD
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herbal formulas, machine learning, Byte Pair Encoding, G-score, Korean Medicine, Traditional East Asian Medicine(TEAM)
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