Cardiovascular and cerebrovascular knowledge map questioning and answering method based on electronic medical records

Abstract

The invention discloses a cardiovascular and cerebrovascular knowledge map questioning and answering method based on electronic medical records. The method comprises the following three parts: 1, constructing a crawler to extract encyclopedia and cardiovascular and cerebrovascular medical knowledge, fusing medical record data to construct a cardiovascular and cerebrovascular domain dictionary andcarrying out electronic medical record desensitization treatment; 2, constructing a knowledge graph based on an electronic medical record, namely realizing entity relationship extraction by using a language model, a bidirectional long-short-term memory network, a conditional random field and a convolutional neural network, screening entity relationships by using word2vec, and storing the entity relationships in Neo4j; and 3, constructing a question-answering method based on a traditional rule, constructing an ACTree and a question template by using the medical feature word set and the domain dictionary to perform question analysis and intention recognition, generating a Cypher query statement, and returning an answer. Based on the electronic medical record and the online knowledge base, cardiovascular and cerebrovascular knowledge graph construction and knowledge graph-based user complaint questioning and answering are realized.

Description

technical field [0001] The present invention relates to the field of deep learning and question answering systems, in particular to a question answering method for cardiovascular and cerebrovascular disease knowledge graphs based on electronic medical records. Background technique [0002] Cardiovascular and cerebrovascular disease is a common disease that seriously threatens the health of human beings, especially middle-aged and elderly people over 50 years old. Even if the most advanced and perfect treatment methods are applied, more than 50% of cerebrovascular accident survivors cannot fully take care of themselves. Nearly 3 million people die from cardiovascular and cerebrovascular diseases in my country every year, accounting for 51% of the total death causes in my country every year. Therefore, an online question-and-answer method and system in the field of cardiovascular and cerebrovascular diseases is very necessary, which can expand professional knowledge and capab...

AI Technical Summary

Problems solved by technology

However, the main common problems are inaccurate user descriptions leading to complications pointing to multiple diseases, insufficient inspection data to make accurate inferences, and the direct connection between the expert system and the hospital medical record system is too complicated, etc.

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