Based On The Data Mining Of Medical Records, The Characteristics Of Stroke, Heat And Stagnation, Evidence And Outcome, And Syndrome Prediction Are Studied

Based on the huge amounts of stroke medical records from famous doctor workstation,the study of Imagery thinking mode of TCM diagnosis and treatment based on theemergence of symptom-syndrome of stroke according to relevant build the ideation and manifestation of TCM diagnosis,and treatment of neural network system,break through the bottleneck of objective expression imagery-thinking,study the stroke syndromes in the evolution of the law and the characteristics of syndrome that "isdynamic time and space,interior-excess and exterior-deficiency and multi-dimensional interface",and relationship between emergence of heat-phlegm and sthenic-fu syndrome and disease prognosis,in order to interprets ideation and manifestation mode of TCM diagnosis and treatment as "Taking Phenomenon as factor,factor as phenotype,phenotype as syndrome,according to the testimony of disease,square card corresponding".The combination of emergency theory and holism will provide a revelation for the intermediation of imagery and ontology.As a part of the research content,this study aims to relieving phlegm heat empirical syndrome of dynamic space-time evolution,analysis of phlegm heat relieving excess in real external virtual characteristics,with the help of the neural network model of artificial intelligence to relieving phlegm heat empirical prediction,using hidden markov model reveals the evolution of relieving phlegm heat empirical law.As far as we know,dialectical treatment is called into question currently.Under the monism of TCM,syndrome is imagery-thinking identify the laws of the host of a body.Breakthrough bottleneck imagery-thinking and objective expression is the key to the model research of traditional Chinese medicine diagnosis and treatment.Syndromes of higher dimensional high-order,determines the complexity and nonlinear of syndrome differentiation of traditional Chinese medicine using simple linear regression analysis is not able to describe the nonlinear complex thinking process of TDS.In recent years,the rise of artificial neural network is a kind of simulating the structure of the brain neural synaptic connections way to convey information of a kind of mathematical model,which can be understood as the abstract calculation model of the human brain,this model can through own complex network model dealing with the relationship between a large number of nodes,so as to achieve the purpose of processing information Due to the complexity and unpredictability of the human body and disease,the complicated nonlinear system is very suitable for Chinese medicine diagnosis and treatment of the data processing and analysisBased on the importance of the stroke prevention research,the urgency of the academic experience of inheritance of traditional Chinese medicine,as well as the scientific nature of the data mining method based on the research content,this paper will be divided into three parts.First,through the acute phase of stroke were retrospectively analyzed medical record,summarizes the phlegm heat relieving empirical clinical characteristics.Extract structured data information from nearly 1803 stroke patients's medical record,compare the empirical and phlegm heat relieving phlegm heat relieving patients with empirical information,from the basic information of patients incidence?Clinical symptoms to diagnosis,inductive,statistical analysis.From the overall view,using the factor analysis and cluster analysis to explain the characteristics of syndrome that is" dynamic time and space,interior-excess and exterior-deficiency and multi-dimensional interface".Second,analysis the clinical characteristics of different outcomes of relieving phlegm to phlegm heat relieving.Observed that severe real relieving phlegm heat relieving patients befoare and after the gas flow is more noticeable change,according to the key of the stroke syndrome,phlegm heat,relieving the empirical analyzed phlegm heat relieving empirical patients before and after relieving gas flowing again,the improvement of the patients with disturbance of consciousness conditions change in the level of consciousness disturbance of consciousness to shorten the duration and patients of phlegm syndrome score and hot score changes relationship,summarizes the empirical relieving phlegm heat relieving gas changes the value of existence and in the process of stroke onset.Third,the application of data mining analysis of stroke phlegm heat relieving the empirical probability and the rule of the syndrome is analyzed.Of viscera phlegm heat relieving the empirical research,using the deep learning method(DL)simulation syndrome differentiation of nonlinear complex neural network structure,static syndrome associated with phlegm heat relieving the empirical predictions of probability At the same time,through the hidden markov model(HMM)for relieving phlegm heat solid related syndrome between different space-time dynamic calculation and forecasting,relieving phlegm heat empirical scientific interpretation syndrome in evolution law in the course of disease development,to set up stroke auxiliary decision-making platform to provide data to support the diagnosis of syndromes,to further promote the traditional Chinese medicine syndrome differentiation and treatment of subjective and objective.The results shows:(1)clinical characteristics of phlegm-heat and fu-organ excessPhlegm-heat and fu-organ excess accountes for 42%of the total number of medical record,which 72%are for apoplexy involving the meridians and 28%are for apoplexy involving the viscera.Phlegm-heat and fu-organ excess syndrome of stroke is associated with a high mortality rate in older men of 60-69 years old for apoplexy involving the meridians and 70-79 years old group for apoplexy involving the viscera.Phlegm-heat and fu-organ excess syndrome of individuals with personal history focused on smoking,drinking,irritable,eating and cardio-cerebrovascular disease family history,whose onset time with no specificity.Stroke patients with Phlegm-heat and fu-organ excess syndrome before the onset associated with bust weakness,dizziness and partial body numb symptom and could be caused by sudden mood disorders or overworked.Chief complaints with hemiplegia,speech Jian acerbity,partial body numbness,dizziness,mouth askew and headache.Accompanied with partial body numbness and dizzy patients,the illness is lighter,easy development of channels and collaterals,phlegm tamer application of relieving symptoms quickly;However,the patients with narcolepsy suddenly become more serious,and they belong to the zang-fu organs,and the symptoms persist for longer.Phlegm-heat and fu-organ excess's distribution of space with time,distributes most in the first point,and distributes least in third point.Otherwise,the channels and collaterals emerged most in point 2,and visceral syndrome appeared in point 1.More elements in the evolution of the three points,the positive factors,to the evolution of deficiency syndrome,empirical wind phlegm relieving real hot Wet phlegm and blood stasis,deficiency syndrome on qi deficiency Yang deficiency is given priority to Phlegm heat relieving excess into the empirical wind phlegm blood stasis mostly bizu,few into deficiency syndrome of deficiency of blood stasis,a general dynamic space-time evolution characteristics.Phlegm-heat and fu-organ excess through factor analysis and cluster analysis,both in the main and collateral channels,or in the viscera,are divided into primary symptom and disease.The main symptom includes:move bowels impassability,yellow moss or thick greasy moss;The secondary symptoms include:irritability tone,stinking red face,throat phlegmy in singing,dizziness,anaemic,accompanied by sleepiness misty,slow expressions in the viscera and so on stands for the syndrome characteristics of the virtual reality of outside-inside.(2)Influence among different outcomes of relieving phlegm to phlegm heat relieving empirical.72.81%of phlegm heat relieving empirical in point 1,application of phlegm onrelieving soup in 83.41%of patients in the acute period after relieving gas unobstructed,about 14.29%of patients relieving gas flow will appear after relieving real temporarily,relieving the phenomenon of gas again impassability.Phlegm through relieving method can reduce the patient's nerve function,heat,phlegm syndrome score,improve the function of patients with disturbance of consciousness.Inner parts of gas flow at the same time of material detoxified,shorten the duration of the disturbance of consciousness of the viscera in the stroke,with functions of promote wake.Relieving gas flow has an important role in the stroke,to some extent,can be used as a criterion of illness weight standard,an important role to the prognosis of stroke outcome.(3)the predictions of phlegm heat relieving empiricalDeep learning decision-making system can accurately judge the phlegm heat relieving syndrome empirical prediction rate is 70.94%.Real medical record related syndrome,phlegm heat relieving phlegm heat relieving,wind phlegm blood stasis,phlegm heat,blood stasis,liver Yang BaoKang,qi and Yin deficiency,two feet defeat gods scattered off,phlegm heat in closed,closely related to the syndrome of Yin deficiency pneumatic etc.Eight,higher forecast syndromes are real(0.9960),wind phlegm heat relieving phlegm hot blood stasis phlegm and blood stasis(0.9714)(0.9446).(4)The evolution rule of phlegm-heat and fu-organ excessMeridian phlegm heat relieving the empirical research,be transferred to the real(0.397)and wind phlegm blood stasis phlegm heat relieving bizu context(0.215)higher probability.Followed by qi deficiency and blood stasis(0.107).Transferred to Yin deficiency pneumatic(0.029)and Yin deficiency of deficiency syndrome probability lowest(0.022).Viscera phlegm heat relieving the empirical research,nearly seventy percent transfer for phlegm heat relieving liver and kidney Yin deficiency(0.718),the highest probability.The second is the wind phlegm blood stasis phlegm wet resistance(0.06).To lower the probability of liver and kidney Yin deficiency syndrome(0.05).ConclusionsPhlegm-heat and fu-organ excess reaches a peak in 1-10 days and emerges at acute stage of stroke disease.Phlegm-heat and fu-organ excess often emerges with other stroke syndrome and associates with the condition of stroke closely,which has different severity of state.Therapy of resolving phlegm and relaxing bowels possesses multiplicity efficacy including improving consciousness and reducing the score of phlegm syndrome and heat syndrome after relieving the gas unobstructedThe good discriminant rate of deep learning to the phlegm-heat and fu-organ excess as well as other related syndromes makes differentiation of TCM repeatability.The hidden markov model has certain predictive value for the evolution of the phlegm-heat and fu-organ excess syndrome.