Research Of Purchasing Management Optimized Strategy Based On Product Life Cycle For A Company

Schizophrenia is a common occupational chronic diseases and mental disorders,in perception,thinking,emotion and behavior,and other obstacles and incongruity of mental activities as the main performance of mental illness,incidence of 0.007%to 0.014%,most of the disease are in young adults,and the clinical cure rate is low,and the disease caused a lot of burden to patients and families.While if we can use digital medical technology to develop and design a schizophrenia aided diagnosis system to assist the doctors to diagnose and forecast cure of the schizophrenia,which would enhance the accuracy in the diagnosis of patients with symptoms and complications and reduce the risk of the disease,and the symptoms also could be found early.Based on the study of Bayesian network in the application of schizophrenia auxiliary diagnosis system designing the schizophrenia aided diagnosis system.Firstly,in this study through the hospital collecting the raw data,with the data integration,feature selection,the discretization,feature reduction and missing value processing,setting up a sample database of schizophrenic patients;Then with applying the Improved Naive Bayesian model to schizophrenia auxiliary diagnosis system;Finally,realized the diagnosis of reasoning algorithm for the Improved Naive Bayes model of Bayesian network,and the reasoning algorithm in operation of patients'information,which can truly reflect the characteristics of the dependencies,and the Improved Naive Bayes model diagnosis accuracy is much more higher.Therefore,this study would introduce the Bayesian network to the aided diagnosis system.Finally,based on the data mining technology that could find and apply the data of knowledge to diagnose patients,then introduce the details of designing of schizophrenia auxiliary diagnosis system,and detailed analysis of the function of the various functional modules and design definition,and explains the relationship and structure of the relationship between different modules.The auxiliary diagnosis system which is fully functional interface,simple operation,and enables users to view and manage more convenient,and the system structures can be practicably applied in the future.