数据挖掘在医院管理中的应用研究

Yutao Liu, Hengyu Cai, Guijie Li, Hang Zhao
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引用次数: 1

摘要

传统的统计分析技术很难有效地分析海量数据。数据挖掘技术具有这一功能,可以为医院管理决策提供更强大的技术支持。介绍了类描述、关联分析、聚类分析、分类与预测、时序模型等技术在医院管理中的应用,指出了数据挖掘技术在医疗成本管理、医疗诊断管理、医院资源管理等方面的广泛适用性。本文在支持医院管理者的分析和决策方面进行了积极的探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Application of Data Mining in Hospital Management
It is difficult to use traditional statistical analysis technology to effectively analyze massive data. Data mining technology has this function and can provide more powerful technical support for hospital management decisions. This paper introduces the application of class description, association analysis, cluster analysis, classification and prediction, and time-sequence model technology in hospital management, and points out the extensive applicability of data mining technology in medical cost management, medical diagnosis management, and hospital resource management. The paper has made actively exploration in supporting the analysis and decision-making of hospital administrators.
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