摘要
研究紧密结合当前社会现状及人们普遍关注的健康问题,把研究理论与实践相结合,将云存储下的个人健康档案作为唯一可靠性数据来源,提出一种基于协同过滤的病例推荐模型,其主要包括两方面内容:病例推荐算法研究和软件可程序化推荐系统设计。创新性地提出利用数据挖掘、数据分析、云上交互、精准推送等一系列互联网技术,最终设计实现了基于协同过滤模型的健康诊疗系统,以期为社会创造实际价值,为用户(患者)提供更便捷高效的实用就医服务。
Research closely combined with the current social situation and the health problems of common concern,combining research theory with practice,the cloud stored personal health records as the only reliability data source,put forward a recommended model based on collaborative filtering cases,which mainly includes two aspects:case recommendation algorithm research and software can be recommended system design.Innovative using data mining,data analysis,cloud interaction,accurate push and a series of Internet technology,finally realizes the health diagnosis and treatment based on collaborative filtering model system.The research is designed to create practical value for the society and provide more convenient and efficient practical medical services for users(patients).
作者
张译铭
于胜卿
ZHANG Yiming;YU Shengqing(School of Management Science and Engineering,Dongbei University of Finance and Economics,Dalian Liaoning 116025;School of Maritime Economics and Management,Dalian Maritime University,Dalian Liaoning 116026)
出处
《软件》
2024年第2期9-13,共5页
Software
基金
辽宁省教育厅基本科研项目“融合用户偏好与社交关系深度学习的精准社会化推荐”(LJKMZ20221606)。
关键词
协同过滤
数据挖掘
文本分析
精准推送
collaborative filtering
data mining
text analysis
accurate push
