医疗大数据现状调查及智能数据诊断框架构想

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI:10.1109/COMPCOMM.2016.7924654

M. Babar, Muhammad Jehanzeb, Masitah Ghazali, D. Jawawi, Falak Sher, S. Ghayyur

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引用次数: 8

摘要

医疗保健是医学领域的核心领域之一。在医疗保健中，数据以各种形式存在，如呼吸数据、血压读数、处方等。这些数据可能有助于制定不同举措的决策，以提供更好的医疗保健服务。然而，为了使这成为可能，需要以专业的方式对数据进行诊断。目前，在以阶段形式进行的大数据分析中，缺乏一种能够帮助决策的系统或方法。在本研究中，提出了一个诊断医疗保健数据的框架，以进行有效的数据分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Big data survey in healthcare and a proposal for intelligent data diagnosis framework

Healthcare is one of the core areas in medical domain. In healthcare the data exist in various forms like respiration data, blood pressure readings, prescriptions and others. The data may help in decision-making for different initiatives in order to provide better healthcare services. However, in order to make this possible there is a need to diagnose the data in a professional way. Currently, there is a lack of a system or way which may help in decision-making in big data analysis in the form of phases. In this research, a framework has been proposed to diagnose the healthcare data for efficient data analysis.

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2016 2nd IEEE International Conference on Computer and Communications (ICCC)

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