Research on intelligent identification of Traditional Chinese Medicine constitutions based on multi-model fusion.

This study introduces a novel, automated method for classifying TCM constitution types through the application of multi-model fusion algorithms. The approach simplifies the complex task of constitution identification while offering a practical and theoretical framework for the intelligent diagnosis of TCM body types. The findings have the potential to enhance personalized health management and support clinical decision-making in TCM diagnosis and treatment.

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Publication Details

Journal
PubMed
Published
2026-02-01
DOI
https://doi.org/10.19852/j.cnki.jtcm.2026.01.022
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on intelligent identification of Traditional Chinese Medicine constitutions based on multi-model fusion.

Yao YUE, Xiaohong CAI
PubMed
Traditional Chinese Medicine Studies
article

Research on intelligent identification of Traditional Chinese Medicine constitutions based on multi-model fusion.

Yao YUE, Xiaohong CAI
article en

Abstract

This study introduces a novel, automated method for classifying TCM constitution types through the application of multi-model fusion algorithms. The approach simplifies the complex task of constitution identification while offering a practical and theoretical framework for the intelligent diagnosis of TCM body types. The findings have the potential to enhance personalized health management and support clinical decision-making in TCM diagnosis and treatment.

PubMedVol. 46(1)
Hubei University of Chinese Medicine (CN), Wuhan Ship Development & Design Institute (CN)
Openalex Percentile: Top 57%
Traditional Chinese Medicine Studies
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