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A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and Validation

A Traditional Chinese Medicine Syndrome Classification Model Based on Cross-Feature Generation by Convolution Neural Network: Model Development and Validation

Menstrual color Menstrual volume Menstrual nature Emotion Family history Vaccination history Physiological abnormality Pulse condition Pressing feeling According to our dysmenorrhea data, the main syndrome types could be summarized into 9 types: liver-kidney depletion, pattern of congealing cold with blood stasis, cold-dampness stagnation, liver constraint and dampness-heat, deficiency of qi and blood, qi stagnation and blood stasis, kidney deficiency and blood stasis, dampness-heat stasis obstruction, and yang

Zonghai Huang, Jiaqing Miao, Ju Chen, Yanmei Zhong, Simin Yang, Yiyi Ma, Chuanbiao Wen

JMIR Med Inform 2022;10(4):e29290

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