Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population

التفاصيل البيبلوغرافية
العنوان: Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population
المؤلفون: yulin Shi, Xiaojuan Hu, Cui Ji, Longtao Cui, Jingbin Huang, Xuxiang Ma, Jiang Tao, Xinghua Yao, Li Jun, Zijuan Bi, Jiacai Li, Wang Yu, Hongyuan Fu, Wang Jue, Yanting Lin, Jingxuan Bai, Xiaojing Guo, Liping Tu, Jiatuo Xu
بيانات النشر: Research Square Platform LLC, 2020.
سنة النشر: 2020
الوصف: BackgroundFatigue is a kind of non-specific symptom, which is widely found in sub-health and various diseases. It is closely related to people's physical and mental health.Due to lack of objective evidence, it is often neglected in clinical diagnosis,especially in the early stage of disease.A large number of clinical practices and studies have shown that tongue and pulse image are reflection of overall state of the body.Establishing an objective evaluation method for diagnosis of disease fatigue and non-disease fatigue by combining clinical symptom and index and tongue and pulse data is of great significance for timely and effective clinical treatment.MethodsIn this study, 2362 physical examination subjects were divided into healthy control, the group of sub-health fatigue and disease fatigue ,used complex network technology to screen out the core symptoms and western medicine indexes of fatigue,respectively. Constructed the core symptom network and the core symptom-index network. At the same time, used canonical correlation analysis to get the associated relationship of tongue and pulse, and analyzed the characteristic of the tongue and pulse data.ResultsThere were some similarities between the core symptoms of sub-health fatigue and disease fatigue,as well as differences. Symptom-index associated analysis of disease fatigue showed that the core indexes in the group of disease fatigue group had a significant canonical correlation, with the canonical correlation coefficient was 0.42 (P
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e1a7e024d50d12360b1fa81c1c51d228
https://doi.org/10.21203/rs.3.rs-59498/v1
حقوق: OPEN
رقم الأكسشن: edsair.doi...........e1a7e024d50d12360b1fa81c1c51d228
قاعدة البيانات: OpenAIRE