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

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