Study On The TCM Syndrome Law Of Schizophreni

Background:SCH is a common mental disease.Its clinical manifestations are multidimensional and multi-faceted disorders such as cognition,thinking,emotion,will,and behavior,accompanied by significant social and occupational functional damage fields.Traditional Chinese medicine has unique advantages in SCH treatment,especially in the negative symptoms and cognitive dimensions of Western medicine,which are difficult to take effect at present.The focus of traditional Chinese medicine diagnosis and treatment is on syndrome differentiation and treatment,but at present,SCH’s TCM syndrome differentiation mostly comes from expert experience and consensus,and lacks the support of large clinical sample TCM syndrome research data.Therefore,it is necessary to carry out TCM syndrome research based on large clinical sample SCH,systematically observe,analyze and summarize SCH’s The law of TCM syndrome.Objective:On the basis of large samples and multi-center clinical case data,a variety of data mining techniques are used to analyze the law of SCH’s TCM syndrome,determine the common syndrome types of SCH,provide a basis for the formulation of SCH TCM syndrome standards and the optimization of diagnosis and treatment guidelines,and provide reference for the clinical diagnosis and treatment of SCH’s traditional Chinese medicine.Method:From May 2020 to April 2021,The SCH TCM syndrome syndrome observation was carried out for 4,734 SCH patients of 12 hospitals in Beijing(the Third Affiliated Hospital of Beijing University of Traditional Chinese Medicine,Beijing Chaoyang District Third Hospital,Beijing Anding Hospital Affiliated to Capital Medical University,Beijing Huilongguan Hospital,Beijing Daxing District Xinkang Hospital,Beijing Changping District Integrated Hospital of Traditional Chinese and Western Medicine,Beijing Shijingshan District Mental Health Care Institute,Tsinghua University Chuiyangliu Hospital,Beijing Yanqing District Psychiatric Hospital,Beijing Pinggu District Psychiatric Hospital,Guang’anmen Hospital of the Chinese Academy of Traditional Chinese Medicine,and Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine),and various data mining technologies such as association rules,cluster analysis,Bayesian network,and complex network analysis were used to complete the dimension reduction and upgrade treatment of symptoms,the SCH TCM syndrome model was established,and the characteristics of SCH TCM syndrome syndrome were analyzed.A variety of data mining technologies such as association rules,cluster analysis,Bayesian network,and complex network analysis are used to complete the dimension reduction and upgrading of symptoms,establish the TCM syndrome model of SCH,and analyze the characteristics of SCH TCM syndrome.Results:(1)This study collected 4,734 cases of SCH patients.2,529 male patients and 2,205 female patients.The ratio of men to women is about 1.17:1,and the average age is 50.81 years old.The marital status is mostly unmarried,accounting for 49.4%.The occupation is mainly unemployed and physical occupation.There are 2,887 unemployed cases,accounting for 61%.The body mass index is generally high,with an average of 24.55±3.98kg/m2.The average daily dose of antipsychotic drugs(onitrogen equal effect)is 15.922±7.394 mg/day.(2)The common symptoms of SCH patients are delusion,indifferent expression,fatigue,constipation knot,less lazy speech,delusion,suspicious and worry,loneliness and withdrawal,muttering to each other,strange behavior,dull expression,joy and laziness.(3)A total of 16 basic certificates have been summarized in this study,namely heart qi deficiency,heart blood deficiency,heart fire,liver qi stagnation,liver yin deficiency,liver blood deficiency,liver fire,temper deficiency,spleen yang deficiency,kidney qi deficiency,kidney yang deficiency,kidney yin deficiency,gallbladder qi deficiency,blood It involves heart,liver,spleen,kidney and gallbladder.The pathological factors are mainly related to qi,fire,phlegm and blood stasis.(4)This study jointly modeled the syndrome of SCH patients through three data mining technologies:association rules,cluster analysis and Bayesian network.Among them,the association rules extracted phlegm fire disturbance,heart and liver fire,qi stagnation and blood stasis,yin deficiency and fire,kidney deficiency and liver depression,phlegm,spleen and Cluster analysis extracted 9 syndrome types:heart and liver fire,phlegm fire injury yin,qi stagnation and blood stasis,yin deficiency and blood spleen and kidney yang deficiency,phlegm and damp internal resistance,heart and spleen deficiency,kidney qi deficiency,and gallbladder qi deficiency.Bayes network There are 11 syndrome types of depression,phlegm,spleen and kidney deficiency,heart and spleen deficiency,heart and kidney deficiency,liver and kidney deficiency.After summarizing the modeling results of the three methods,we will summarize the eight syndrome types of phlegm and fire,heart and liver fire,qi stagnation and blood stasis,yin deficiency and fire,phlegm,heart and spleen deficiency,spleen and kidney yang deficiency and kidney deficiency and liver depression.Conclusion:The clinical characteristics of schizophrenia include negative symptoms and positive symptoms.The former is epilepsy,and the syndrome types are mostly manifested as phlegm,heart and spleen deficiency,spleen and kidney yang deficiency,kidney deficiency and liver depression;the latter is madness,and the syndrome type is mostly manifested as phlegm fire...