IEEE Rev Biomed Eng. 2018;11:275-288. doi: 10.1109/RBME.2018.2829704. Epub 2018 Apr 24.
With the advancement of technology in data science and network technology, the world has stepped into the Era of Big Data, and the medical field is rich in data suitable for analysis. Thus, in recent years, there has been much research in medical big data, mainly targeting data collection, data analysis, and visualization. However, very few works provide a full survey of the medical big data on chronic diseases and health monitoring. This review investigates recent research efforts and conducts a comprehensive overview of the work on medical big data, especially as related to chronic diseases and health monitoring. It focuses on the full cycles of the big data processing, which includes medical big data preprocessing, big data tools and algorithms, big data visualization, and security issues in big data. It also attempts to combine common big data technologies with special medical needs by analyzing in detail existing works of medical big data. To the best of our knowledge, this is the first survey that targets chronic diseases and health monitoring big data technologies.
随着数据科学和网络技术的进步，世界已经进入大数据时代，医学领域有丰富的数据适合进行分析。因此，近年来，医学大数据领域的研究很多，主要针对数据收集、数据分析和可视化。然而，很少有工作提供对慢性病和健康监测的医学大数据的全面调查。本综述调查了最近的研究工作，并对医学大数据的工作进行了全面概述，特别是与慢性病和健康监测有关的工作。它重点关注大数据处理的完整周期，包括医学大数据预处理、大数据工具和算法、大数据可视化以及大数据中的安全问题。它还通过详细分析医学大数据的现有工作，尝试将常见的大数据技术与特殊的医疗需求相结合。据我们所知，这是首次针对慢性病和健康监测大数据技术的调查。
