An Empirical Review to Identify Huntington's Disease in Human Beings Using Machine Learning Techniques

A neuro-degenerative, progressive disease that detriments the lifestyle and living standards of individuals in a colossal manner is the Huntington's disease. Most often, this disease may be hereditary, but in some cases the disease can occur due to extensive depletion in the nerve cells in the brain. The motor functionality degradations can impact the emotional and behavioural characteristics of an individual and can lead to loss of control as it progresses over time. While the medical interventions pertaining, this disease might not hold a cure, palliative care to further slowdown the degeneration of the ailment is the practiced in neoteric times. This paper pivots on the empirical review of agnizing Huntington's disease through a juxtaposed analysis. However, the classification of the disease only limits the treatment to this problem by subsequently decelerating the progress rather than entirely preventing the disease. Therefore, in order to construct a comprehensive framework that entails systematic and meticulous deterrence of the disease, a complete review of the potential studies relevant to this disease is summarized in this paper.