Yonghong Xie1, 3, Liangyuan Hu1, 3, Xingxing Chen2, 3, Jim Feng4, Dezheng Zhang1, 3, *
CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 481-494, 2020, DOI:10.32604/cmc.2020.010297
Abstract As one of the most valuable assets in China, traditional medicine has a long
history and contains pieces of knowledge. The diagnosis and treatment of Traditional
Chinese Medicine (TCM) has benefited from the natural language processing technology.
This paper proposes a knowledge-based syndrome reasoning method in computerassisted diagnosis. This method is based on the established knowledge graph of TCM and
this paper introduces the reinforcement learning algorithm to mine the hidden
relationship among the entities and obtain the reasoning path. According to this reasoning
path, we could infer the path from the symptoms to the syndrome and get all possibilities… More >
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