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Big Data and Reality Mining in Healthcare: Promise and Potential

机译:医疗保健中的大数据和现实挖掘:承诺和潜力

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Nowadays individuals are creating a huge amount of data; with a cell phone in every pocket, a laptop in every bag and wearable sensors everywhere, the fruits of the information are easy to see but less noticeable is the information itself. This data could be particularly useful in making people's lives healthier and easier, by contributing not only to understand new diseases and therapies but also to predict outcomes at earlier stages and make real-time decisions. In this paper, we explain the potential benefits of big data to healthcare and explore how it improves treatment and empowers patients, providers and researchers. We also describe the capabilities of reality mining in terms of individual health, social network mapping, behavior patterns and treatment monitoring. We illustrate the benefits of reality mining analytics that lead to promote patients' health, enhance medicine, reduce cost and improve healthcare value and quality. Furthermore, we highlight some challenges that big data analytics faces in healthcare.
机译:如今,个人正在创建大量数据。每个口袋里都有一部手机,每个袋子里都有一台笔记本电脑,随处可见可穿戴式传感器,这些信息的果实很容易看到,但信息本身并不那么引人注目。这些数据不仅有助于了解新疾病和疗法,而且有助于预测早期阶段的结果并做出实时决策,因此对于使人们的生活更健康,更轻松特别有用。在本文中,我们解释了大数据对医疗保健的潜在好处,并探讨了大数据如何改善治疗并赋予患者,提供者和研究人员权力。我们还将根据个人健康状况,社交网络映射,行为模式和治疗监控来描述现实挖掘的功能。我们说明了现实挖掘分析的好处,这些好处可以促进患者的健康,增强医学,降低成本并提高医疗保健的价值和质量。此外,我们重点介绍了大数据分析在医疗保健领域面临的一些挑战。

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