|Table of Contents|

Research and Implementation of Diabetes Intelligent Question Answering System Based on LTP(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2023年03期
Page:
60-66
Research Field:
计算机科学与技术
Publishing date:

Info

Title:
Research and Implementation of Diabetes Intelligent Question Answering System Based on LTP
Author(s):
Yi Faling1; 2; Sun Xiaocui1; 2; Chen Shanshan1
(1.College of Medical Information Engineering, Guangdong Pharmaceutical University, Guangzhou 510006, China)
(2.Engineering and Technology Research Center of Guangdong Universities-Real World Engineering and Technology Research Center of Medical Information, Guangzhou 510006, China)
Keywords:
diabetes;  knowledge graph;  Q&A system;  semantic keywords;  LTP;  natural language processing
PACS:
TP391
DOI:
10.3969/j.issn.1672-1292.2023.03.008
Abstract:
Through extensive collection of diabetes related questions actually raised by users on health websites, and comprehensive analysis of questions based on LTP natural language processing platform, build a classification dictionary of basic diagnosis and treatment, indicators, medication, diet, health care products, prevention and question(judgment)vocabulary of diabetes. The semantic keywords are extracted by word matching, dependency syntax analysis, and related word combination analysis. On this basis, the problem classification is carried out. At the same time, combined with the problem classification and the related decision tree, the knowledge graph of diabetes and the judgment process of the problem are constructed, which realizes the effective matching of questions and answers. The actual question and answer test results of the system show that the recognition rate is 91.3% and the accuracy rate is 83.6%.

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Last Update: 2023-09-15