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A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

For example, Huang et al [19] successfully identified the liver-gallbladder dampness-heat syndrome in patients with breast cancer using a dataset based on the prescriptions of TCM clinical practitioners. Zhuo et al [20] effectively differentiated Qi deficiency blood stasis syndrome and phlegm stasis in channels syndrome in patients with stroke through artificial intelligence–assisted retinal feature analysis.

Xiaojie Jin, Yanru Wang, Jiarui Wang, Qian Gao, Yuhan Huang, Lingyu Shao, Jiali Zhao, Jintian Li, Ling Li, Zhiming Zhang, Shuyan Li, Yongqi Liu

JMIR Med Inform 2025;13:e64725