The Design And Implementation Of Intelligent Diagnostic Information System Based On Knowledge Map

Because medical diagnosis is vague and subjective,it has high requirements for doctor’s diagnosis experience.Young doctors,due to lack of outpatient experience,in the diagnosis process,subject to subjective influence,prone to misdiagnosis,reduce the accuracy of diagnosis.With the development of artificial intelligence,how to use artificial intelligence technology to integrate a large amount of medical knowledge and provide diagnostic services has become a hot issue.Therefore,this paper designs a medically assisted diagnostic information system,which integrates medical expertise by using artificial intelligence technology to form a knowledge map,and uses simple Bayesian algorithm to realize the diagnostic model and provide diagnostic services based on the integrated knowledge map structured data.For the existence of traditional medical information management system is only a single collection and storage of patient and medical data,there is no certain evaluation value and accessibility functions.The medical diagnostic information system researched and developed in this paper,on the basis of the traditional information management system,can further improve the accuracy and objectivity of doctors’ understanding of patient symptoms by integrating medical data into a new form of knowledge map,which can be more intuitively displayed to doctors and patients by analyzing the relationship between things from the perspective of "relationship" than the traditional data format.Secondly,using the integrated medical data combined with the simple Bayesian algorithm to design the disease prediagnosis model,through the simple Bayesian algorithm property weighting method is improved,the degree of property differentiation in the category is increased,and the accuracy of the simple Bayesian algorithm in the diagnostic process is improved.The user describes the symptoms through the system,and the model analyzes the user’s symptoms to get information about possible diseases.The main research content of this paper is the following aspects:1.Knowledge map construction for medical texts.In view of the shortage of materials and the imperfect classification in the knowledge map in the field of medicine,this paper takes the medical electronic medical record and vertical medical website as the data source,and constructs the medical knowledge map by naming entity identification and relationship extraction technology.2.Based on the well-constructed medical knowledge map,the electronic medical records and medical data in the vertical network are integrated.Intelligent diagnosis is achieved by improving the simple Bayesian algorithm.Compared with the simple Bayesian algorithm,the accuracy of prediction is improved by improving the calculation method of property feature weighting.3.Finally,based on the proposed algorithm,the intelligent diagnostic information system is realized.The system uses the current popular Spring Boot framework and lightweight My SQL database as the storage engine.The main functions of the system include intelligent diagnosis,user information management,prescription management,outpatient appointment four functional modules.And through the system function and performance test,can achieve the desired effect,has a strong practicality.