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This paper is in the following e-collection/theme issue:

Computer-Aided Diagnosis (427) Complementary and Alternative Medicine (199) Machine Learning (3217) Infectious Diseases (non-STD/STI) (1935) Complementary and Alternative Medicine (20)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64725, first published .
Laptop and phone displaying CPPDD ACHVP web application with blood indicators

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

Authors of this article:

Xiaojie Jin1, 2 Author Orcid Image ;   Yanru Wang1 Author Orcid Image ;   Jiarui Wang3 Author Orcid Image ;   Qian Gao2 Author Orcid Image ;   Yuhan Huang1 Author Orcid Image ;   Lingyu Shao4 Author Orcid Image ;   Jiali Zhao1 Author Orcid Image ;   Jintian Li1 Author Orcid Image ;   Ling Li1 Author Orcid Image ;   Zhiming Zhang5 Author Orcid Image ;   Shuyan Li4 Author Orcid Image ;   Yongqi Liu1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

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