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A novel data mining approach for brain tumour detection

机译:用于脑肿瘤检测的新型数据挖掘方法

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Data mining techniques are used for mining useful trends or patterns from textual and image data sets. Medical data mining is very important field as it has significant utility in healthcare domain in the real world. The mining techniques can help the healthcare industry to improve quality of services and grow faster with state-of-the-art technologies. Technology usage is not limited to decision making in enterprises, but spread to every walk of life in all fields. This paper is focused on brain tumour detection which is an essential decision making feature and is a part of healthcare application. This paper proposed a methodology for brain tumour detection which has both training and testing phases. A prototype application has been built to demonstrate the usefulness of the proposed algorithm. The experimental results reveal that the application can be integrated with decision support systems in healthcare domain for improving quality of services.
机译:数据挖掘技术用于从文本和图像数据集中挖掘有用的趋势或模式。医疗数据挖掘是非常重要的领域,因为它在现实世界的医疗保健领域中具有重要的用途。采矿技术可以帮助医疗保健行业提高服务质量,并借助最先进的技术更快地增长。技术的使用不仅限于企业的决策制定,还扩展到各个领域的各个领域。本文着重于脑肿瘤检测,这是必不可少的决策功能,是医疗保健应用程序的一部分。本文提出了一种用于脑肿瘤检测的方法,该方法既有训练阶段,也有测试阶段。已构建了一个原型应用程序,以演示所提出算法的有用性。实验结果表明,该应用程序可以与医疗保健领域的决策支持系统集成,以提高服务质量。

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