Diagnosis of liver diseases using machine learning

Liver Diseases account for over 2.4% of Indian deaths per annum. Liver disease is also difficult to diagnose in the early stages owing to subtle symptoms. Often the symptoms become apparent when it is too late. This paper aims to improve diagnosis of liver diseases by exploring 2 methods of identification patient parameters and genome expression. The paper also discusses the computational algorithms that can be used in the aforementioned methodology and lists demerits. It proposes methods to improve the efficiency of these algorithms.

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