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End-to-End Models to Imitate Traditional Chinese Medicine Syndrome Differentiation in Lung Cancer Diagnosis: Model Development and Validation

End-to-End Models to Imitate Traditional Chinese Medicine Syndrome Differentiation in Lung Cancer Diagnosis: Model Development and Validation

Considering the inaccessibility of TCM literature, Hu et al [28] modeled yin-yang syndrome differentiation as a text classification task. By employing a convolutional neural network (CNN) and the fast Text classifier, two sets of experiments were conducted. The results showed that the CNN system using 5-gram characters as its inputs was the most accurate. The aforementioned studies denote that weighted mathematical logic operation–based models can be used for intelligent TCM syndrome differentiation.

Ziqing Liu, Haiyang He, Shixing Yan, Yong Wang, Tao Yang, Guo-Zheng Li

JMIR Med Inform 2020;8(6):e17821

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