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首页> 外文期刊>Journal of biomedical informatics. >Data mining and visualization for decision support and modeling of public health-care resources.
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Data mining and visualization for decision support and modeling of public health-care resources.

机译：数据挖掘和可视化，用于公共卫生资源的决策支持和建模。

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摘要

This paper proposes an innovative use of data mining and visualization techniques for decision support in planning and regional-level management of Slovenian public health-care. Data mining and statistical techniques were used to analyze databases collected by a regional Public Heath Institute. We also studied organizational aspects of public health resources in the selected Celje region with the objective to identify the areas that are atypical in terms of availability and accessibility of public health services for the population. The most important step was the detection of outliers and the analysis of availability and accessibility deviations. The results are applicable to health-care planning and support in decision making by local and regional health-care authorities. In addition to the practical results, which are directly useful for decision making in planning of the regional health-care system, the main methodological contribution of the paper are the developed visualization methods that can be used to facilitate knowledge management and decision making processes.
机译：本文提出了一种创新的数据挖掘和可视化技术，用于在斯洛文尼亚公共卫生保健的规划和区域级管理中提供决策支持。数据挖掘和统计技术被用于分析区域公共卫生研究所收集的数据库。我们还研究了所选采列地区的公共卫生资源的组织方面，目的是确定在为公众提供公共卫生服务的可用性和可及性方面非典型的领域。最重要的步骤是检测异常值并分析可用性和可访问性偏差。结果适用于医疗保健规划，并为地方和地区医疗保健当局的决策提供支持。除了对区域卫生保健系统规划中的决策直接有用的实际结果外，本文的主要方法论贡献是开发的可视化方法，可用于促进知识管理和决策过程。

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