Future Generation Computing in M-Health

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Abstract

The implementation of healthcare-related big data in m-health has constantly been considered as the most prevalent technological breakthrough of the modern era. Indeed, the use of healthcare-related big data in m-health is a pivotal and substantially challenging task and is still not chiefly considered by the researchers. This is predominantly indispensable owing to the perpetual cascading of structured and unstructured datasets being elicited abundantly from multifold m-health applications within the purview of diverse healthcare systems. Perhaps, there are many innovative paradigms, which, if synergistically used in the domain of m-health, can generate the next level of computing in this purview. This chapter will render the relevance of big data from the point of view of m-health as well as the existing and future attributions of different machine and deep learning techniques in the pursuit of m-health.
移动医疗中的下一代计算
在移动医疗中实施与医疗相关的大数据一直被认为是现代最流行的技术突破。的确,在移动医疗中使用与医疗保健相关的大数据是一项关键且极具挑战性的任务,研究人员仍然没有主要考虑到这一点。由于结构化和非结构化数据集的永久级联,从不同医疗保健系统范围内的多重移动医疗应用程序中大量提取,这在很大程度上是必不可少的。也许,有许多创新的范例,如果在移动医疗领域协同使用,可以在这一范围内产生更高水平的计算。本章将从移动医疗的角度来呈现大数据的相关性,以及在追求移动医疗过程中不同机器和深度学习技术的现有和未来属性。
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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