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Analysis of common syndromes diagnosis basis of pulmonary nodules based on data mining
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DOI   10.11656/j.issn.1672-1519.2024.07.04
Key Words   pulmonary nodules;common syndrome;symptom;contribution degree;diagnosis basis
Author NameAffiliationE-mail
SUN Xuege Department of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou 450000, China
The First Clinical Medical College, Henan University of Chinese Medicine, Zhengzhou 450000, China 
 
ZHAO Hulei Department of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou 450000, China
Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China 
 
JIAO Li Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China
Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450004, China 
 
ZHOU Miao Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China
Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450004, China 
 
WANG Zhongchao Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China
Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450004, China 
 
HUANG Yan Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China
Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450004, China 
 
JIANG Yanli Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China
Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450004, China 
 
LIU Yuanyuan Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China
Third Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450004, China 
 
LI Jiansheng Department of Respiratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou 450000, China
The First Clinical Medical College, Henan University of Chinese Medicine, Zhengzhou 450000, China
Henan University of Chinese Medicine Respiratory Disease Diagnosis and Treatment and New Drug Research and Development Provincial and Ministry Co-built Collaborative Innovation Center, Henan Key Laboratory of Chinese Medicine for Respiratory Diseases, Zhengzhou 450046, China 
li_js8@163.com 
Abstract
    [Objective] To preliminarily establish the diagnosis basis for common syndromes of pulmonary nodules. [Methods] The correlation between symptoms and their contribution to common syndromes was analyzed using association rules combined with a Bayesian network based on the clinical data of 746 clinical data of pulmonary nodules. [Results] Among the common syndromes,the closely related symptom groups and their contribution to the syndrome were as follows:1)lung qi deficiency syndrome:fatigue & spiritual tiredness(0.22);2) lung spleen qi deficiency syndrome:cough & white phlegm(0.27),cough & shortness of breath(0.19),white greasy tongue fur & thin tongue(0.57),thin tongue & fine weak pulse(0.36),fatigue & poor appetite(0.14);3) phlegm turbid obstructing the lung syndrome:cough & white phlegm(0.32),chest tightness & shortness of breath(0.19). The syndrome of stasis obstructing lung collateral has not yet obtained a closely related symptom group. Conclusion based on the contribution of symptom clusters to common syndromes,the preliminary establishment of diagnostic conditions and basis can provide an objective basis for the establishment of diagnostic criteria for pulmonary nodules syndromes. The symptom clusters that contribute to the stasis lung collateral syndrome need to be further studied. [Conclusion] Based on the correlated symptom clusters and their contribution to syndromes,the diagnostic basis for common syndromes of pulmonary nodules were formed,which can provide a basis for the establishment of diagnostic criteria for pulmonary nodule common syndromes. However,the symptom clusters that contribute to the stasis lung collateral syndrome need to be further studied.

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