机器学习在医疗保健领域的应用

Hanyue Dou
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引用次数: 5

摘要

近年来,随着人工智能和机器学习成为研究热点,在每个领域都出现了一些应用。它不仅作为一种学术前沿而存在,而且与我们的生活息息相关。在这种趋势下,医疗和机器学习的结合越来越紧密。其主要思想的提出,也极大地缓解了医疗布局不平衡、资源紧张的现状。本文总结了机器学习和辅助肿瘤治疗在医疗资源配置过程中的一些应用,提出了在人工智能时代实现其更贴近人类生活的一些新的应用方法,并探索了医疗行业与计算机行业相互结合、互利共赢的良好局面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of Machine Learning in The Field of Medical Care
These years, with artificial intelligence and machine learning becoming the hotspot of research, several applications have emerged in each of these areas. It exists not only as a kind of academic frontier but also something close to our life. In this trend, the combination of medical care and machine learning becomes more and more tighter. The proposal of its main idea also greatly alleviated the existing situation of unbalanced medical distribution and resources strain. This paper summarizes some application of machine learning and auxiliary tumor treatment in the process of medical resource allocation, and puts forward some new methods of application to realize it closer to human life in the era of artificial intelligence and the explores a good situation of mutual combination of medical industry and computer industry, which is benefit both.
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