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A Comprehensive Study of Data Mining Techniques in Health-care, Medical, and Bioinformatics

机译:卫生保健,医学和生物信息学数据采矿技术综合研究

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Data mining and Data warehousing is an imperative part of explore and is realistically worn in diverse domains resembling funding, quantifiable research, teaching, retail, e-business, marketing, health care etc. Many researchers have been systematically been reviewed and surveyed in health care, which is an active interdisciplinary area that is extent of data mining. The task of comprehension removal in the health care records is a demanding undertaking and intricate too. This review paper mainly focused on to find the existing data mining methods and techniques described in different academic literature based on health care data. Several data mining tools have been applied to set of selected diseases to find the accuracy of each particular tool. It is complicated to select one data mining tool for all kind of diseases analysis exhibition. Health care professionals can gain a solid understating from this study while selecting data mining tools to analyze their data.
机译:数据挖掘和数据仓库是探索的必要条件,在不同的域名中,在不同的域名中,类似于资金,可量化的研究,教学,零售,电子商务,营销,医疗保健等。在医疗保健中已经系统地审查和调查了许多研究人员,这是一个有效的跨学科区域,即数据挖掘的程度。理解记录中的理解任务是一个苛刻的事业和复杂。本综述文件主要专注于查找基于医疗保健数据的不同学术文献中描述的现有数据挖掘方法和技术。已经应用了几种数据挖掘工具到了一组选定的疾病,以找到每个特定工具的准确性。选择一个数据采矿工具,为所有类型的疾病分析展览选择一个数据挖掘工具很复杂。医疗保健专业人员可以从本研究中获得固体低估,同时选择数据挖掘工具来分析其数据。

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