医疗保健中的大数据分析:机遇、挑战和技术

Madhu Kumari, Singh Vijendra
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引用次数: 1

摘要

大数据已经发展成为一个最具挑战性的研究领域。在过去的几年里,它引起了人们的广泛关注,影响着我们的现代社会,包括商业、政府、医疗保健和几乎所有学科的研究。大数据在改善医疗保健方面具有巨大潜力。对现有医疗保健数据进行适当的分析可以生成最合适的预测结果,并减少治疗成本和时间。IT和医疗保健行业的合作使医疗保健管理系统发生了革命性的变化。本文试图通过整合不同研究者和学者的各种概念和定义,对大数据的描述进行合并。本文强调了医疗保健数据分析的潜力和相应的挑战。摘要在医疗保健数据分析不同的研究趋势提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data analytics in healthcare: opportunities, challenges and techniques
Big data has evolved as a most challenging field of study and research area. It has drawn much attention during the last few years and influences our modern society including business, government, healthcare, and in research in almost every discipline. Big data has a huge potential to improve healthcare. A proper analysis of existing healthcare data fabricates most suitable predictive results and cut the cost and time of treatment. The collaboration of IT and healthcare industry has revolutionarised the healthcare management system. This paper attempts to merge the description of big data by integrating various concepts and definitions from the different researchers and academicians. This paper highlights the potential and corresponding challenges in healthcare data analysis. A summarisation on different research trends within healthcare data analysis is presented.
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