基于协同过滤模型的健康诊疗系统的研究与设计
Research and Design of Health Diagnosis and Treatment System Based on Collaborative Filtering Model
张译铭 1于胜卿2
作者信息
- 1. 东北财经大学管理科学与工程学院,辽宁大连 116025
- 2. 大连海事大学航运经济与管理学院,辽宁大连 116026
- 折叠
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.
Abstract
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).
关键词
协同过滤/数据挖掘/文本分析/精准推送Key words
collaborative filtering/data mining/text analysis/accurate push引用本文复制引用
基金项目
辽宁省教育厅基本科研项目(LJKMZ20221606)
出版年
2024
NETL
NSTL
万方数据