Research on Machine Learning Classification of Sub-health Patients with Spleen Qi Deficiency Syndrome and Kidney Qi Deficiency Syndrome Based on Degree Centrality
- VernacularTitle:基于度中心性对亚健康脾气虚证与肾气虚证患者的机器学习分类研究
- Author:
Sitong FENG
1
;
Ziyao WU
;
Linrui DONG
;
Yanzhe NING
;
Hongxiao JIA
Author Information
- Publication Type:Journal Article
- Keywords: Spleen qi de ficiency syndrome; Kidney qi deficiency syndrome; Sub-health; Degree centrality; Machine learning
- From: World Science and Technology-Modernization of Traditional Chinese Medicine 2025;27(11):3119-3125
- CountryChina
- Language:Chinese
- Abstract: Objective To build the machine learning classification model for sub-health patients with spleen qi deficiency syndrome and kidney qi deficiency syndrome based on degree centrality characteristics.Methods A total of 80 sub-healthy subjects were included,including 40 subhealth patients with spleen qi de ficiency syndrome and 40 subhealth patients with kidney qi deficiency syndrome were enrolled and underwent resting-state functional magnetic resonance imaging scans.The DPABI software was used to extract the degree centrality characteristics of all subjects,and a random forest model was used for classification.Results Between the sub-health spleen qi deficiency syndrome group and the sub-health kidney qi deficiency syndrome group,after feature selection,10 degree centrality features were finally obtained:The supplementary eye field,posterior cingulate gyrus,MT+area,pre-supramarginal sulcus,ventromedial visual area,secondary visual cortex,supramarginal sulcus,precuneus,ventral supramarginal gyrus complex and dorsolateral prefrontal cortex.Following hyperparameter optimization and leave-one-out cross-validation,a random forest classification model was obtained with an accuracy rate of 0.71.Conclusion The significant changes in the centrality of brain regions such as the supplementary eye field and posterior cingulate gyrus may be key brain regions underlying the neural mechanism differences between subhealth spleen qi deficiency syndrome and kidney qi deficiency syndrome,providing neuroimaging evidence for the cognitive neural basis differences in traditional Chinese medicine theories of"spleen in storing idea"and"kidney storing will".
