Abstract
Artificial neural network (ANN) for fast and trusted herbal ingredient discoveries is proposed. It is fast, because different ANN modules can be executed in parallel, and the ANN results are trustworthy, because they can be verified by TCM domain experts in real clinical environments in Hong Kong, Nanning, GuangXi, China and New York, United States of America. The ANN is able to learn the relationship between herbal ingredients and the set of information given (e.g. symptoms and illnesses). The ANN output is called the relevance index (RI), which conceptually associates two TCM entities.
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The authors thank the anonymous reviewers for the positive comments.
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Lin, W., Wong, J. (2014). Artificial Neural Network Based Chinese Medicine Diagnosis in Decision Support Manner and Herbal Ingredient Discoveries. In: Poon, J., K. Poon, S. (eds) Data Analytics for Traditional Chinese Medicine Research. Springer, Cham. https://doi.org/10.1007/978-3-319-03801-8_7
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DOI: https://doi.org/10.1007/978-3-319-03801-8_7
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