机器学习与监督分类算法的应用:在健康背景下

Denis Cedeño-Moreno, Miguel Vargas-Lombardo
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引用次数: 3

摘要

如今,与健康问题相关的大量数据被存储,并且每次的量都在增加。在巴拿马,糖尿病是一种每年造成大量死亡的疾病。这种疾病是该国第五大死因。糖尿病是社会卫生影响最大的疾病之一,不仅因为它非常重要,还因为患者有大量慢性并发症,而且死亡率很高。糖尿病是一种无声的疾病,每天在我国都有更多的人患有糖尿病,不幸的是,许多年轻人正在发展这种疾病,他们并不知道自己患有这种疾病。人工智能(AI)等应用于健康等敏感领域的创新技术日益增多。目前,基于机器学习的新模型不断发展,但在国内相关研究较少。因此,本研究旨在使用各种机器学习技术,并确定这些模型如何帮助我们解决健康问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Machine Learning with Supervised Classification Algorithms: In the Context of Health
Nowadays a great amount of data related to health issues is stored, and each time the volume is increasing. In Panama, diabetes is a disease that causes a considerable number of deaths per year. This disease is the fifth cause of death in the country. Diabetes is one of the diseases with the greatest socio-sanitary impact, both due to the great importance it has, and also due to the large number of chronic complications that the patient has and in addition to its high mortality rate. Diabetes is a silent disease and every day in our country there are more people who suffer from it, it is unfortunate that many young people are developing this disease they do not know they have it. Using innovative technologies such as artificial intelligence (AI) applied to sensitive areas such as health is increasing every day. The new models based on machine learning currently, is growing, however in our countries there are few studies related to the subject. Therefore, this research aims to use various techniques of machine learning and determine how these models can help us to solve health problems.
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