针对糖尿病的大学生创业项目“治未病”智慧健康云平台理论构想

高等药学教育研究 ›› 2022, Vol. 40 ›› Issue (1): 49-54.

针对糖尿病的大学生创业项目“治未病”智慧健康云平台理论构想

1. 沈阳药科大学工商管理学院，辽宁沈阳 110016； 2. 本溪市溪湖区东风教育集团，辽宁本溪 117019； 3. 本溪满族自治县清河城镇九年一贯制学校，辽宁本溪 117116； 4. 赛云九洲科技股份有限公司，北京朝阳 100124

出版日期:2022-01-25 发布日期:2023-02-16
作者简介:谷岚胭（1999-），女（汉族），四川巴中人，2018级药事管理专业2班本科生，Tel.18090212471，E-mail2849598795@qq.com。
基金资助:
沈阳药科大学2020年度大学生创新创业训练计划项目（X202010163008X）；教育部2021年第一批产学合作协同育人项目（项目编号：202101246048）

The conception of "preventive treatment" smart health cloud platform for diabetes for undergraduate entrepreneurship project

1. School of Business Administration, Shenyang Pharmaceutical University, Shenyang 110016, China; 2. Benxi Xihu District Dongfeng Education Group, Benxi 117019, China; 3. Benxi Manchu Autonomous County Qinghe Town Nine-year Compulsory Education School, Benxi 117116, China; 4. Saiyunjiuzhou Technology Co., Ltd., Beijing 100124, China

Online:2022-01-25 Published:2023-02-16

摘要/Abstract

摘要： 目的改善我国糖尿病患者显著增加的问题现状，减轻医疗卫生体系和社会的压力。方法采用大数据技术，提出开发“治未病”智慧健康云平台小程序相关构想。基于人工神经网络，构建小程序智能处理端框架，实现用户糖尿病患病几率评估功能，并为用户提供相关生活方式和医疗服务建议。从人才签约，平台运营等角度进行相关的专项研究。结论 “治未病”智慧健康云平台可针对用户糖尿病患病风险进行评估与把控，治糖尿病于“未病”，以提高人们糖尿病防治意识，改善我国糖尿病患者显著增加的问题。

关键词: 糖尿病, 治未病, 大数据技术, 人工神经网络, 理论构建

Abstract:

Objective To control the significant increase of diabetes patients in our country, and reduce the pressure on the medical system and society. Methods This paper proposes the idea of developing "preventive treatment" smart health cloud platform applet through big data technology. Based on the artificial neural network, the framework of the intelligent processing end of the applet is constructed to realize the assessment function of the user's diabetes probability, and provide users with lifestyle and medical service suggestions. This paper conducts relevant research from the perspective of talent signing, platform operation, etc. Conclusion The "preventive treatment" smart health cloud platform applet can evaluate and control the users’ risk of diabetes, prevent diabetes, raise the users’ awareness of diabetes prevention and control the significant increase of diabetes in China.

Key words:

diabetes; preventive treatment, big data technology, artificial neural network; theoretical establishment

中图分类号:

R197.1

谷岚胭, 孟令娥, 陈思龙, 李锦连, 曲若暄, 刘硕, 张玉书, 辛世伟, 孟令全.

针对糖尿病的大学生创业项目“治未病”智慧健康云平台理论构想 [J]. 高等药学教育研究, 2022, 40(1): 49-54.

GU Lanyan, MENG Linge, CHEN Silong, LI Jinlian, QU Ruoxuan, LIU Shuo, ZHANG Yushu, XINS hiwei, MENG Lingquan.

The conception of "preventive treatment" smart health cloud platform for diabetes for undergraduate entrepreneurship project [J]. RESEARCHES IN HIGHER EDUCATION OF PHARMACY, 2022, 40(1): 49-54.

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