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基于人工智能的家庭健康教育公共服务系统

Artificial Intelligence-Based Family Health Education Public Service System.

作者信息

Zhao Jingyi, Fu Guifang

机构信息

Business School, Xi'an International University, Xi'an, China.

Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China.

出版信息

Front Psychol. 2022 May 11;13:898107. doi: 10.3389/fpsyg.2022.898107. eCollection 2022.

DOI:10.3389/fpsyg.2022.898107
PMID:35645929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9131935/
Abstract

Family health education is a must for every family, so that children can be taught how to protect their own health. However, in this era of artificial intelligence, many technical operations based on artificial intelligence are born, so the purpose of this study is to apply artificial intelligence technology to family health education. This paper proposes a fusion of artificial intelligence and IoT technologies. Based on the characteristics of artificial intelligence technology, it combines ZigBee technology and RFID technology in the Internet of Things technology to design an artificial intelligence-based service system. Then it designs the theme of family health education by conducting a questionnaire on students' family education and analyzing the results of the questionnaire. And it designs database and performance analysis experiments to improve the artificial intelligence-based family health education public service system designed in this paper. Finally, a comparative experiment between the family health education public service system based on artificial intelligence and the traditional health education method will be carried out. The experimental results show that the family health education public service system based on artificial intelligence has improved by 21.74% compared with the traditional family health education method; compared with the traditional family health education method, the health education effect of the family health education public service system based on artificial intelligence has increased by 13.89%.

摘要

家庭健康教育对每个家庭来说都是必不可少的，这样才能教导孩子们如何保护自己的健康。然而，在这个人工智能时代，诞生了许多基于人工智能的技术操作，因此本研究的目的是将人工智能技术应用于家庭健康教育。本文提出了人工智能与物联网技术的融合。基于人工智能技术的特点，将物联网技术中的ZigBee技术和RFID技术相结合，设计了一个基于人工智能的服务系统。然后通过对学生家庭教育进行问卷调查并分析问卷结果，设计了家庭健康教育主题。并且设计了数据库和性能分析实验，以改进本文设计的基于人工智能的家庭健康教育公共服务系统。最后，将基于人工智能的家庭健康教育公共服务系统与传统健康教育方法进行对比实验。实验结果表明，基于人工智能的家庭健康教育公共服务系统与传统家庭健康教育方法相比提高了21.74%；与传统家庭健康教育方法相比，基于人工智能的家庭健康教育公共服务系统的健康教育效果提高了13.89%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/2d8999100057/fpsyg-13-898107-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/f565b5ea7f85/fpsyg-13-898107-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/1c852e3c86d8/fpsyg-13-898107-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/393137bf4c8d/fpsyg-13-898107-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/a0c707beb1b0/fpsyg-13-898107-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/46fe70c64c0b/fpsyg-13-898107-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/2d8999100057/fpsyg-13-898107-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/f565b5ea7f85/fpsyg-13-898107-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/97717139d740/fpsyg-13-898107-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/2e4c5b12585e/fpsyg-13-898107-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/dbee0b3e5ca4/fpsyg-13-898107-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/31ca9a8a0eff/fpsyg-13-898107-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/1c852e3c86d8/fpsyg-13-898107-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/393137bf4c8d/fpsyg-13-898107-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/a0c707beb1b0/fpsyg-13-898107-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/46fe70c64c0b/fpsyg-13-898107-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e846/9131935/2d8999100057/fpsyg-13-898107-g010.jpg

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