用于大型医疗保健数据分析的健壮模型

Ritu Chauhan, Rajesh Jangade
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引用次数: 17

摘要

大数据技术为医疗保健应用领域的研究和科学家提供了各种各样的挑战,以提高患者的生活质量。然而,在这个技术爆炸的阶段,从大数据中获取有效和高效的信息是未来医疗诊断的一种价值关怀。然而。数据分析技术的空前发展已经证明了从这些数据库中发现隐藏模式的成果。本研究的目的是讨论大数据分析在医疗保健应用领域的最新发展。然而,本文解释了预测数据分析的新兴作用,重点研究患者的质量护理与几个状态的例子。此外,综合的暗示性新框架与方法进行了讨论,为有效的患者护理诊断的计算技术提供了显着的好处。
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A robust model for big healthcare data analytics
The big data technologies are offering varied challenges for research and scientists in healthcare application domain to improve the quality of life in patients. Yet in this phase of technology explosion, retrieving effective and efficient information from big data is a value care for future medical diagnostic. However. unprecedented growth in data analytical technology has proven fruitful for discovery of hidden patterns from such databases. The purpose of this study is to discuss current developments in big data analytics with healthcare application domain. However, paper explains the emerging role of predictive data analytics with focused study on patient's quality care with several states of examples. Further, comprehensive suggestive novel framework is discussed with the approach to offer significant benefits to computing technology for effective patient care diagnosis.
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