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Data Mining Usage and Applications in Health Services

机译:卫生服务中数据挖掘的使用和应用

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Data Mining (DM), used to extract large amounts of hidden, valuable, useful information in large quantities and to provide strategic decision support, has created a new perspective on the use of health data. It has become a rapidly growing method of responding to problematic areas of data in large quantities in almost all sections. Although in health services it seems to be slow, a major leap has come to the scene. The aim of this study is to provide a new perspective on decision-making processes by creating an infrastructure for the health data and to provide examples for healthcare workers in the healthcare industry using DM techniques. Forasmuch as, the conceptual framework of data discovery in databases, Data Warehousing, DM, Business Intelligence (BI) has been given. DM applications and usages are given as examples of priority issues and problem areas in the health sector.?.
机译:数据挖掘(DM)用于大量提取大量隐藏的,有价值的,有用的信息并提供战略决策支持,它为健康数据的使用创造了新的视角。它已成为一种快速增长的方法,几乎​​可以在所有部分中对有问题的数据区域进行大量响应。尽管在医疗服务领域似乎进展缓慢,但已经出现了重大飞跃。这项研究的目的是通过创建用于健康数据的基础结构,为决策过程提供新的视角,并为使用DM技术的医疗保健行业的医疗工作者提供示例。因此,已经给出了数据库中数据发现的概念框架,数据仓库,DM,商业智能(BI)。 DM的应用和用法是卫生部门中优先事项和问题领域的示例。

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