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Recent Survey on Parkinson Disease Diagnose using Deep Learning Mechanism

机译:深度学习机制对帕金森病诊断的最新调查

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Parkinson disease is the neurodegenerative disease caused to the central nervous system and the long term progressive disorder that is mainly depends on the movement of the body is termed as the Parkinson Disease (PD). During the early stages of these diseases the person affected by this have to phase many difficulties and mostly it is affected to the vocal system. This disease can be seen for the people above 60 ages also it does not have complete cure. The Parkinson Disease can be identified using smartphones in which each and every steps of the patients can be recognized. Hence we are able to do it with a deep multi layer perceptron classifier as it does not need to have a physical interactions with the physicians. It is possibly done with the actions through the speech and movements of the people affected by this. From the missing data using the smartphone we can also detect the Parkinson disease patients in other way.
机译:帕金森氏病是引起中枢神经系统的神经退行性疾病,主要取决于身体运动的长期进行性疾病称为帕金森氏病(PD)。在这些疾病的早期阶段,受此影响的人必须分阶段解决许多困难,并且大多数情况下会影响到声带系统。这种疾病在60岁以上的人群中也可以看到,但尚未完全治愈。帕金森氏病可以使用智能手机进行识别,在智能手机中可以识别出患者的每一步。因此,我们能够使用深层的多层感知器分类器来做到这一点,因为它不需要与医生进行物理交互。这可能是通过受此影响的人们的言论和行动来采取的行动来完成的。使用智能手机从丢失的数据中,我们还可以通过其他方式检测帕金森氏病患者。

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