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A Review on Big Data Analytics in Healthcare Using Machine Learning Approaches

机译:使用机器学习方法的医疗保健大数据分析研究述评

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The rapid expansion of the business intelligence and analytics process has emphasized the importance of how knowledge is aquire and helps to make appropriate decision. The big data in area of healthcare open up new ways for analyze and aquire intelligence from big data. The conventional approaches for management of health data have archive limited success. The traditional approaches are incapable of management and process on big data because of its different characteristics. Following paper shows various techniques for process the big data as machine learning and statistics approaches. Also the paper shows the various tools for storing the big data and its advantages as well as disadvantages for health care big data.
机译:商业智能和分析过程的迅速扩展已经强调了如何获取知识并有助于做出适当决策的重要性。医疗保健领域的大数据为分析和获取大数据的情报开辟了新的途径。用于管理健康数据的常规方法在存档方面取得了有限的成功。传统方法由于其不同的特性而无法对大数据进行管理和处理。后续论文展示了随着机器学习和统计方法处理大数据的各种技术。本文还展示了用于存储大数据的各种工具及其对医疗保健大数据的利弊。

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