机器学习在帕金森病诊断中的意义述评

M. Jonas
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摘要

帕金森病(PD)是一种众所周知的发生在人类中枢神经系统的疾病。PD常导致影响运动。它是一种大脑紊乱,会以多种方式影响人类,如颤抖、行走不平衡等。根据美国国立卫生研究院的数据,患帕金森病的男性比女性多50%。帕金森病常见于60岁以上的人群。每当脑细胞进入死亡状态,死亡细胞产生的化学物质“多巴胺”数量减少时,PD就会发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Commentary on the Significance of Machine Learning for Diagnosis of Parkinson's Disease
Parkinson's Disease (PD) is one of the well-known disorders which occur to the central nervous system of human being. PD often leads to affect the movements. It is a brain disorder which affects the humans in several ways such as shaking, unbalanced walking etc. According to NIH, 50% more men are affected by PD than women [1]. PD is commonly seen in people with age 60. PD occurs whenever the brain cells turn into condition of dead and the dead cells results in producing the chemical named "dopamine” in fewer amounts.
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