Study on Chromaticity Characteristics of Gastrointestinal Tumors and Construction of Auxiliary Diagnostic Models
10.19879/j.cnki.1005-5304.202503148
- VernacularTitle:胃肠道肿瘤望诊色度特征及辅助诊断模型研究
- Author:
Xiaoyan XU
1
;
Yulin SHI
;
Liping TU
;
Tao JIANG
;
Wen JIAO
;
Xiaojuan HU
;
Jiatuo XU
Author Information
1. 上海中医药大学中医学院,上海 201203
- Publication Type:Journal Article
- Keywords:
inspection;
facial tongue parameters;
gastrointestinal tumors;
machine learning;
auxiliary disease diagnostic model
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2025;32(11):142-148
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the characteristics of facial and tongue chromaticity parameters in patients with gastrointestinal tumors by setting the inspection image characteristics of patients with gastrointestinal tumors as the main research content;To establish an auxiliary diagnostic model for gastrointestinal tumors.Methods One-way ANOVA,t-test,Mann-whitney U test,canonical correlation analysis and Spearman statistical methods were used to analyze the characteristics of inspection image indexes and correlation of tumor markers of the 391 cases in the control group and 359 patients with gastrointestinal tumors.Machine learning methods such as SVM,Random Forest,KNN,Naive Bayes,XG Boost and Ada Boost were used to establish an auxiliary diagnostic model for gastrointestinal tumors.Results In terms of facial indicators,there were differences in F-R,F-G and F-B indicators among the control group,early-stage gastrointestinal cancer patients,and mid-to late-stage gastrointestinal cancer patients,in the comparison of tongue features among,TC-L,TB-L and TB-a of the control group,patients with early gastrointestinal tumors,and patients with intermediate and advanced gastrointestinal tumors showed a gradual downward trend;the AUC of the auxiliary diagnosis model of gastrointestinal tumor disease based on the chromaticity parameters of face tongue image constructed by Ada Boost algorithm was 0.930.Conclusion The auxiliary diagnostic model of gastrointestinal diseases constructed by facial and tongue images has good diagnostic effect,which can provide objective data support for in-depth exploration of the complex relationship between diagnosis and disease.
