基于人工智能的抑郁症治未病与健康管理服务模式构建  

Construction of the model of preventive treatment and health management service of depression:based on artificial intelligence

作　　者：陈鑫[1,2] 许亮文 CHEN Xin;XU Liangwen(School of Public Health,Hangzhou Normal University,Hangzhou 311121,China;School of Information Engineering,Wenzhou Business College,Wenzhou 325035,China)

机构地区：[1]杭州师范大学公共卫生学院,浙江杭州311121 [2]温州商学院信息工程学院,浙江温州325035

出　　处：《健康研究》2022年第6期639-642,共4页Health Research

基　　金：浙江省卫生健康科技计划项目(2022PY085);浙江省中医药科技计划项目(2022ZB229);浙江省新苗人才计划项目(2022R426A032)。

摘　　要：抑郁症是一种高发病率的精神健康类疾病,带来沉重的社会负担。文章基于健康管理学理论及中医治未病思想,提出设计抑郁症智能健康管理模型用于抑郁症的健康管理,利用不同模态的抑郁症健康数据、采用机器学习算法进行抑郁症高危人群筛查及基于人工智能技术进行抑郁症高危人群的预警与干预等抑郁症治未病与健康管理服务策略;并对关键技术应用与服务改进策略进行探讨,包括抑郁症高危人群筛查模型的优化方法以及抑郁症高危人群预警与干预的改进方法。Depression is a mental health disease with high incidence rate, which brings heavy social burden. This paper proposes to design an intelligent health management model for depression based on the theory of health management and the idea of preventive treatment of traditional Chinese medicine;uses different modes of depression health data, and adopts machine learning algorithms to screen high-risk groups of depression, and to carry out early warning and intervention for high-risk groups of depression, and other strategies for depression prevention and health management services based on artificial intelligence technology;also discusses the application of key technologies and service improvement strategies, including the optimization method of screening model for high-risk groups of depression and the improvement method of early warning and intervention for high-risk groups of depression.

关 键 词：人工智能 抑郁症 治未病与健康管理 服务模式 智慧健康 

分 类 号：R749.4[医药卫生—神经病学与精神病学]