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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

Utilizing inquiry diagnosis, Liu et al [21] constructed coronary heart disease syndrome differentiation models through various multilabel learning algorithms. Their experiment showed that the multilabel k-nearest neighbor algorithm outperformed other algorithms. Wang et al [22] formulated chronic fatigue syndrome differentiation as a multilabel learning task.

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

JMIR Med Inform 2020;8(6):e17821