| 摘 要: 针对近年来大数据、云计算、人工智能等新技术在智慧医疗领域的迅速发展，通过分析智慧医疗设计的层次结构，提出基于Zookeeper下的分布式Redis缓存框架实现数据平台展示及交互。针对各种不同的医疗信息实现离线批处理与在线实时计算协同处理策略。在持续高并发下实现毫秒级延迟，并准确快速地返回用户所需的信息。实现医疗信息采集及在大数据驱动下进行多维度分析与数据挖掘，构建智慧医疗体系云系统，为智慧医疗服务建设提供一种可行性分析方法。 |
| 关键词: 医疗大数据；数据挖掘；智慧医疗 |
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中图分类号: TP393
文献标识码: A
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| 基金项目: 福建中医药大学校管重点项目(X2020011-重点). |
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| Design of Smart Medical Service System Driven by Big Data |
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LI Shengxu, WANG Ying
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(College of Humanities and Management, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
18905011828@189.cn; 494845194@qq.com
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| Abstract: In view of the rapid development of big data, cloud computing, artificial intelligence and other new technologies in the field of smart medicine in recent years, this paper proposes a distributed Redis caching framework based on Zookeeper through the analysis of the hierarchical structure of smart medical design, achieving data platform display and interaction. The collaborative processing strategies of offline batch processing and online real-time computing are implemented for various medical information. The system solves the problem of realizing millisecond-level delay and returning the information required by users accurately and quickly under continuous high concurrency. Medical information collection, and multi-dimensional analysis and data mining driven by big data are realized, so that a cloud system of smart medical system is built. The proposed system provides a feasibility analysis method for smart medical service construction. |
| Keywords: medical big data; data mining; smart medicine |
