Neurodegenerative Disorder of Ageing using Neural Networks

Generally, a neurodegenerative disease is known as the Parkinson disease because this is a condition in which the nerve cells gradually degenerate and die. There are general symptoms and causes which include gradual slowness of moment, muscles get stiff and finally tremors. Apart from this severe symptoms there are so many other symptoms too, many of which are severe, and some may occur sometimes. It generally affects the different nervous systems and the types of neurons. However, substantial attention has been paid to neurons in brain areas linked to overt motor symptoms, which are part of a key cerebral network important for movement facilitation. Dopaminergic neurons in the substantia nigra die slowly in Parkinson's disease,May start causing the nigra which tends to malfunction and creates a problem of typical moment types. Parkinson's disease is more common in those over the age of 50. It is a slowly progressing disease. The main aim of the paper is to prove that the neurodegenerative disorder can be solved using deep learning techniques such as neural networks and get a great accuracy.