Analysis Of Pain Perception Information In Medical Domain And The Construction Of Knowledge Graph

With the rapid development of the Internet and artificial intelligence,in the near future,on-line intelligent medical care will become one of the mainstream ways for people to seek medical treatment,and the number of online search for health care is increasing year by year,according to the data released by Baidu.and the search for the health medical subject accounts for more than half of the total search,wherein the information search on the medical condition is almost all searched by the "pain perception" as a key word,the "pain" is the expression of all the conditions,and is the key to the patient’s expression of the condition,However,most of the patients have a lack of knowledge of medical care,leading to the need for an interactive,leak-free,patient-to-patient information.A complete,accurate and easy-to-understand classification system of pain perception is established for use by both patients and doctors.However,there is a lack of in-depth research on pain information.Although the Internet information is easy to use,there are a series of problems,such as information explosion,information redundancy,random information release and unaudited information quality,which make it difficult for users to find useful information.The information found has great inaccuracy,medical information is related to the life safety of patients,and no deviation is allowed in accuracy and information exchange.The development of knowledge graph and semantics provides a good solution to this problem.This study combines knowledge graph,semantics and medical authoritative literature to integrate pain perception information.It is hoped that it can be used for the interaction of doctor-patient information and the intelligent medical system on the Internet for help.This paper first reviews the current research status of knowledge maps and pain perception information in the medical field at home and abroad.Secondly,it introduces the methods,techniques and tools for constructing knowledge maps.Then,according to the authoritative medical literature and semantics at home and abroad,the pain perception The description of the information is integrated,and the pain perception knowledge classification system is established.Then the pain perception knowledge classification system is used as the model.The ontology technology and tools are used to complete the pain perception knowledge map construction.The semantic analysis technology is used to complete the knowledge acquisition,and the corpus is used to add examples to the ontology.The function of the ontology is displayed,and the RDF format is selected for storage.Finally,the reasoning function of the knowledge map is designed,and the query is displayed by "Jena+Jena Fuseki",and the semantic reasoning and intelligent query of the knowledge map are verified and analyzed.