Hadoop与小波支持医疗大数据

Fadia Shah, Jianping Li, F. Shah, Y. Shah
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引用次数: 1

摘要

随着数据的增长,医疗数据越来越密集和复杂。在2019冠状病毒病之后,医疗信息完全从tb级到pb级消耗。准确的诊断需要复杂的机制和信息技术的支持。Hadoop生态系统正在促进各种医疗保健应用程序的大数据管理。因为密集的患者病史有助于更好的诊断;Hadoop架构支持患者数据的容纳、检索、更新以及许多类似的功能,如信息分类、信息复杂性、信息存储、信息调查、信息安全和保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hadoop with Wavelet Support for Medical Big Data
Medical data is becoming more dense and complicated day by data. After COVID-19, the medical information is entirely expended from terabytes and petabytes. An accurate diagnosis needs a sophisticated mechanism and the support of information technology. Hadoop ecosystem is facilitating big data management for various health care applications. As dense patient history leads to better diagnosis; Hadoop architecture supports patient data accommodation, retrieval, update, and many similar functions like information assortment, information intricacy, information stockpiling, information investigation, information security, and protection.
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