吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (4): 801-806.

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慢性疾病健康问答系统的构建方法

 康冰,段纪鲁,卢辉遒   

  1. 吉林大学通信工程学院,长春130022
  • 收稿日期:2024-05-29 出版日期:2025-08-15 发布日期:2025-08-15
  • 通讯作者: 段纪鲁(1996— ), 男, 山东聊城人, 吉林大学工程师, 主要从事模式识别与智能系统研究,(Tel)86-15584186839(E-mail)duanjilu@ jlu. edu. cn。 E-mail:kangbing@ jlu. edu. cn
  • 作者简介:康冰(1978— ), 男, 长春人, 吉林大学正高级工程师, 主要从事问答库构建、 多智能体一致性控制研究, (Tel)86- 15043009900(E-mail)kangbing@ jlu. edu. cn
  • 基金资助:
    吉林省教育厅基金资助项目(JJKH20231173CY)

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

摘要:

针对患者长期健康知识需求与自主管理困难的问题,为提高慢性疾病患者医疗信息获取的准确性与便捷性, 开发了一套基于知识图谱与微信小程序的慢性疾病健康知识问答系统。该系统包括问答库、服务器端、客户端3部分。问答库基于知识图谱、文本生成与匹配技术构建,服务器端基于Python语言编写, 使用微信 小程序作为客户端。系统具有对疾病知识进行智能问答、健康数据记录、健康推文、知识库更新功能。应用 结果表明,该系统能良好地完成慢性病人的健康知识问答任务。

关键词: 知识图谱, 慢性疾病, Python语言, 小程序, 云端通信

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

中图分类号: 

  • TP311.1