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

Machine Learning (1501) Information Models (30) Methods and Instruments in Medical Informatics (135) Natural Language Processing (706) Ontologies, Classifications, and Coding (243)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29290, first published .
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

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

Authors of this article:

Zonghai Huang1 Author Orcid Image ;   Jiaqing Miao2 Author Orcid Image ;   Ju Chen1 Author Orcid Image ;   Yanmei Zhong1 Author Orcid Image ;   Simin Yang3 Author Orcid Image ;   Yiyi Ma1 Author Orcid Image ;   Chuanbiao Wen1 Author Orcid Image
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