Research And Development Of Medical Knowledge Question-Answering System Based On BERT Model

In the Artificial Intelligence technology under the background of the era of development,China as the world’s most populous country,health industry development potential is huge,in recent years,our country has been vigorously advocated medical intelligent,modern,promote the combination of medical service and Artificial Intelligence for more and practice,and the emergence of COVID-19 punctuate the people desire for the medical knowledge.Thanks to the development of the Internet,more and more people begin to search for medical knowledge related to disease prevention and treatment on the Internet.However,it is difficult to sift through the information obtained through search engines to get the answer to the question or even the wrong answer.In this context,this paper combines the question-and-answer system with medical knowledge to develop an intelligent question-and-answer system for medical knowledge based on BERT model,which helps people to solve the difficulty of obtaining medical knowledge.This paper will use the structural development method of software engineering to analyze,design and implement the system.The knowledge base of the question and answer subsystem uses crawler and open source data set to ensure the "quality" and "quantity" of the knowledge base,and at the same time,it is stored in the form of knowledge graph triples for the convenience of operation.The core of the question-and-answer model is a model to calculate semantic similarity based on BERT model of Google open source,whose F1 value reaches0.959.The system development follows the MVC design pattern,the front-end page design is carried out on the ink knife software,and then the front-end construction is carried out using HTML5+CSS.Using MySQL database to store system data and knowledge base;Django framework was used to build the background system and complete the interaction of the corresponding functional modules.Finally,an intelligent question-and-answer system of medical knowledge integrating the advanced research results of Artificial Intelligence was realized.