Journal of Jilin University (Information Science Edition) ›› 2025, Vol. 43 ›› Issue (4): 801-806.

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Construction of Health Question and Answer System for Chronic Disease

KANG Bing, DUAN Jilu, LU Huiqiu   

  1. College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2024-05-29 Online:2025-08-15 Published:2025-08-15

Abstract:

In order to improve the accuracy and convenience of obtaining medical information for patients with chronic diseases, a chronic disease health knowledge Q&A(Question and Answer) system based on knowledge graph and WeChat mini program has been developed. The system includes question and answer library, server- side, and client-side. The question and answer library is built based on knowledge graph, text generation and matching technology, and the server-side is written in Python language, using WeChat mini program as the client. In terms of functionality, the system is capable of intelligent question answering, health data recording, health tweets, and knowledge base updates for disease knowledge. The application results indicate that the system can effectively complete the health knowledge question and answer task for chronic patients.

Key words: knowledge mapping, chronic illness, Python language, applet, cloud communication

CLC Number: 

  • TP311.1