Research on model and algorithm of TCM constitution identification based on artificial intelligence

作者: Bin Li , Qianghua Wei , Xinye Zhou

DOI: 10.1007/S10878-019-00486-Y

关键词: Image (mathematics)Sample (statistics)Artificial intelligenceBig dataTheory of computationArtificial neural networkConstitutionIdentification (information)AlgorithmConstruct (philosophy)Computer science

摘要: In recent years, the research and application of artificial intelligence are developing rapidly. The in medical image judgment has achieved good results accuracy speed. As big data computing power increase, will find more applications medicine health. this paper, technology is applied to Traditional Chinese Medicine (TCM) constitutional type. Using model algorithm neural network, fuzzy linguistic variables expressed value membership degree construct nine standard TCM types as basic sample data. Then it combined with several doctors form new trained by algorithm. used help classify individuals’ constitution. simulation show that achieves a result learning

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