Review Of The Application Of Deep Learning In Health Management

Zihao Zhang, Xianghua Huang, Tianhong Zhang
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引用次数: 1

Abstract

As the cutting-edge methods of Health Management (HM), deep learning is getting more and more attention. This paper reviews the application of deep learning algorithms to HM, summarizes the advantages and defects of these algorithms, and proposes three problems to be solved as well as possible solutions. Most importantly, instead of depicting different deep learning methods from different perspectives, like statistics, algebra, topology, this paper gives a universal algebra perspective towards deep learning algorithms.
深度学习在健康管理中的应用综述
作为健康管理的前沿方法,深度学习越来越受到人们的关注。本文回顾了深度学习算法在HM中的应用,总结了这些算法的优点和缺陷,提出了三个需要解决的问题以及可能的解决方案。最重要的是,本文没有从统计学、代数、拓扑等不同角度描述不同的深度学习方法,而是从通用代数的角度来描述深度学习算法。
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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