Liver Cancer Identification Grid Search RFC Model using Machine Learning

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Sunita Kumari
Gourav Mitawa


Liver is essential to the body's digestion of sugar and fats, absorption, and immunological system. This substance is present in almost everything a man takes in, breathes, or absorbs through his skin. Liver disorders are a significant health burden. It is increasing daily and is difficult to detect in its early stages since the liver may function normally even when partially damaged. Doctors have widely employed machine learning algorithms to diagnose liver illness in order to increase the efficiency of medical diagnosis. The study's primary aim is to evaluate how machine learning algorithms may be used to prevent postponing medical care, accurately diagnose liver illness, and minimize the number of erroneous diagnoses provided to sick patients. The main objective is to ensure that liver patients receive an accurate diagnosis as soon as possible.


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Sunita Kumari, & Gourav Mitawa. (2023). Liver Cancer Identification Grid Search RFC Model using Machine Learning . International Journal of New Practices in Management and Engineering, 12(1), 01–05. Retrieved from


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