阿尔茨海默病的早期检测:方式和方法

M. Monisha, K. M. Harshitha, N. H. Dhanalakshmi, Kokatam Sai Prakash Reddy, C. Nagarathna, M. Kusuma
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引用次数: 0

摘要

阿尔茨海默病属于神经退行性疾病,被认为是人类神经系统最具破坏性和最严重的疾病之一。目前还没有一种快速且经济有效的方法来常规筛查65岁及以上的阿尔茨海默病,这是最常见的一种神经退行性痴呆。超过520万美国人已经患有这种疾病,预计到2030年这一数字将上升到770万。本文讨论了机器学习概念的使用如何在早期阶段升级阿尔茨海默病的检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early detection of Alzheimer’s: Modalities and Methods
Alzheimer’s disease belongs to the group of neurodegenerative diseases and is considered as one of the most destructive and severe diseases of the human nervous system. There is presently no quick and cost-effective method for routinely screening individuals of age 65 and older for Alzheimer's disease, the most prevalent type of neurodegenerative dementia. Over 5.2 million Americans already suffer from this condition, with the number anticipated to rise to 7.7 million by 2030. This paper discusses how the use of Machine learning concepts has upgraded the detection of Alzheimer's disease in the early stage.
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