论文标题
对使用糖尿病管理系统应用眼眼和舌头数字图像处理的机器学习技术的评论
A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System
论文作者
论文摘要
糖尿病是一种全球流行病，它正在以惊人的速度增加。国际糖尿病联合会（IDF）预计，全球糖尿病的总人数可能会增加48％，从4.25亿（2017年）增加到6.29亿（2045年）。此外，糖尿病已导致数百万死亡，而且数量正在急剧增加。因此，本文介绍了糖尿病及其并发症的背景。此外，本文还研究了具有注射眼底和舌头数字图像的糖尿病管理系统领域的创新应用和过去的研究。已经回顾了不同类型的现有的用糖尿病管理系统的现有现有的眼睛眼底和舌头数字图像处理，并且已经回顾了先前文献中最先进的机器学习技术。本文的含义是在糖尿病研究中概述，以及在解决这一全球流行病方面可以提出哪些新的机器学习技术。
Diabetes is a global epidemic and it is increasing at an alarming rate. The International Diabetes Federation (IDF) projected that the total number of people with diabetes globally may increase by 48%, from 425 million (year 2017) to 629 million (year 2045). Moreover, diabetes had caused millions of deaths and the number is increasing drastically. Therefore, this paper addresses the background of diabetes and its complications. In addition, this paper investigates innovative applications and past researches in the areas of diabetes management system with applied eye fundus and tongue digital images. Different types of existing applied eye fundus and tongue digital image processing with diabetes management systems in the market and state-of-the-art machine learning techniques from previous literature have been reviewed. The implication of this paper is to have an overview in diabetic research and what new machine learning techniques can be proposed in solving this global epidemic.
