MACHINE LEARNING IN NEURODEGENERATIVE DISORDERS

Abstract

Neurodegenerative disorders were responsible for 272,644 deaths in 2016 along in the US. The government spent $655 billion in 2020 for the direct and indirect medical costs from these diseases. Although experiments have been going on to find the cure for the neurodegenerative diseases, there has not been an efficient way till date to completely cure the diseases. Recently, there have been studies in understanding the cause of the diseases so as to plan for the early detection and treatment of diseases such Alzheimer’s, Parkinson’s disease and motor neuron diseases. Since proteins are the functional backbone of our body, understanding their formation and their relation to disease growth is a subject of interest. This is a study to link the application of a few methods developed in recent times to predict the presence of neurodegenerative diseases

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