Objective To establish correlation models between various physical examination indexes and traditional Chinese medicine(TCM)constitutions,and explore their relationships based on the radial basis function(RBF)neural n...Objective To establish correlation models between various physical examination indexes and traditional Chinese medicine(TCM)constitutions,and explore their relationships based on the radial basis function(RBF)neural network.Methods The raw data of physical examination indexes and TMC constitutions of 650 subjects who underwent a physical examination were cleaned,classified and sorted,on the basis of which valid data were retrieved and categorized into a training dataset and a test dataset.Subsequently,the RBF neural network was applied to the valid samples in the training set to establish correlation models between various physical examination indexes and TCM constitutions.The accuracy and the error margin of the correlation model were then verified using the valid samples in the test set.Results Of all selected samples,the highest accuracy rates were 80% for the blood lipid index-TCM constitution model;100% for the renal function index-TCM constitution model;100% for the blood routine(male)index-TCM constitution model;88.8% for the blood routine(female)index-TCM constitution model;84.1%for the urine routine index-TCM constitution model;and 100% for the blood transfusion index-TCM constitution model.Conclusions The samples selected in this study suggested that there is a strong correlation between physical examination indexes and TCM constitutions,making it feasible to apply the established correlation models to TCM constitution identification.展开更多
This paper studies the correlation between Traditional Chinese Medicine(TCM)Constitution discrimination and physical examination index based on BPNN algorithm.253cases of routine urine test were used to build a linkag...This paper studies the correlation between Traditional Chinese Medicine(TCM)Constitution discrimination and physical examination index based on BPNN algorithm.253cases of routine urine test were used to build a linkage model between TCM Constitution and physical indicators via BPNN algorithm.According to the test,the correct rate of learning and test group are60%and40%,respectively.A strong correlation was found between TCM Constitution and physical examination indexes.By applying cutting-edge knowledge and technologies,the development and modernization process of TCM can be greatly promoted.展开更多
This paper expounds the theory of traditional Chinese medicine(TCM)constitution applied to patients with cervical spondylosis,in order to clarify the distribution characteristics of TCM constitution of patients with c...This paper expounds the theory of traditional Chinese medicine(TCM)constitution applied to patients with cervical spondylosis,in order to clarify the distribution characteristics of TCM constitution of patients with cervical spondylosis.And to analyze the correlation between TCM constitution theory and cervical spondylosis is helpful to provide ideas for integrated nursing care of TCM and western medicine in patients with cervical spondylosis,and provide the basis for the construction of health management program and the evaluation of health promotion effect.展开更多
Depression is a common mental disease characterized by abnormal emotional changes,which belongs to the category of“melancholia syndrome”and Chinese emotion medicine.The main clinical manifestations are mood depressi...Depression is a common mental disease characterized by abnormal emotional changes,which belongs to the category of“melancholia syndrome”and Chinese emotion medicine.The main clinical manifestations are mood depression,loss of interest,hallucinations,self-harm,and even suicide.Etiology and pathogenesis can be divided into“inner depression”and“outer depression”,and is related to the susceptibility of the constitution.The diagnosis can be combined with four diagnoses and new techniques.Traditional Chinese medicine(TCM)treatment methods include TCM,psychotherapy,acupuncture,music therapy and so on.TCM treatment of depression has a long history,strong symptomatic,little side effects.It is forward-looking to explore new ideas of understanding and treating depression syndrome with TCM theory,which is helpful to better“prevention before disease”.TCM therapy will certainly play an important role in the treatment of depression in the future.展开更多
基金the funding support from the National Key Research and Development Project of China(No.2018YFC1707606)National Natural Science Foundation of China(No.81904324)Youth Foundation of Sichuan Administration of Traditional Chinese Medicine(No.2016Q065).
文摘Objective To establish correlation models between various physical examination indexes and traditional Chinese medicine(TCM)constitutions,and explore their relationships based on the radial basis function(RBF)neural network.Methods The raw data of physical examination indexes and TMC constitutions of 650 subjects who underwent a physical examination were cleaned,classified and sorted,on the basis of which valid data were retrieved and categorized into a training dataset and a test dataset.Subsequently,the RBF neural network was applied to the valid samples in the training set to establish correlation models between various physical examination indexes and TCM constitutions.The accuracy and the error margin of the correlation model were then verified using the valid samples in the test set.Results Of all selected samples,the highest accuracy rates were 80% for the blood lipid index-TCM constitution model;100% for the renal function index-TCM constitution model;100% for the blood routine(male)index-TCM constitution model;88.8% for the blood routine(female)index-TCM constitution model;84.1%for the urine routine index-TCM constitution model;and 100% for the blood transfusion index-TCM constitution model.Conclusions The samples selected in this study suggested that there is a strong correlation between physical examination indexes and TCM constitutions,making it feasible to apply the established correlation models to TCM constitution identification.
基金funding support from the Young Talents for research on Traditional Chinese Medicine Science and Technology in Sichuan (No.2016Q065)
文摘This paper studies the correlation between Traditional Chinese Medicine(TCM)Constitution discrimination and physical examination index based on BPNN algorithm.253cases of routine urine test were used to build a linkage model between TCM Constitution and physical indicators via BPNN algorithm.According to the test,the correct rate of learning and test group are60%and40%,respectively.A strong correlation was found between TCM Constitution and physical examination indexes.By applying cutting-edge knowledge and technologies,the development and modernization process of TCM can be greatly promoted.
文摘This paper expounds the theory of traditional Chinese medicine(TCM)constitution applied to patients with cervical spondylosis,in order to clarify the distribution characteristics of TCM constitution of patients with cervical spondylosis.And to analyze the correlation between TCM constitution theory and cervical spondylosis is helpful to provide ideas for integrated nursing care of TCM and western medicine in patients with cervical spondylosis,and provide the basis for the construction of health management program and the evaluation of health promotion effect.
文摘Depression is a common mental disease characterized by abnormal emotional changes,which belongs to the category of“melancholia syndrome”and Chinese emotion medicine.The main clinical manifestations are mood depression,loss of interest,hallucinations,self-harm,and even suicide.Etiology and pathogenesis can be divided into“inner depression”and“outer depression”,and is related to the susceptibility of the constitution.The diagnosis can be combined with four diagnoses and new techniques.Traditional Chinese medicine(TCM)treatment methods include TCM,psychotherapy,acupuncture,music therapy and so on.TCM treatment of depression has a long history,strong symptomatic,little side effects.It is forward-looking to explore new ideas of understanding and treating depression syndrome with TCM theory,which is helpful to better“prevention before disease”.TCM therapy will certainly play an important role in the treatment of depression in the future.
