Fazal Muhammad1,*, Bilal Khan2, Rashid Naseem3, Abdullah A Asiri4, Hassan A Alshamrani4, Khalaf A Alshamrani4, Samar M Alqhtani5, Muhammad Irfan6, Khlood M Mehdar7, Hanan Talal Halawani8
CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1049-1067, 2023, DOI:10.32604/cmc.2023.032698
Abstract Today, liver disease, or any deterioration in one’s ability to survive, is extremely common all around the world. Previous research has indicated that liver disease is more frequent in younger people than in older ones. When the liver’s capability begins to deteriorate, life can be shortened to one or two days, and early prediction of such diseases is difficult. Using several machine learning (ML) approaches, researchers analyzed a variety of models for predicting liver disorders in their early stages. As a result, this research looks at using the Random Forest (RF) classifier to diagnose the liver disease early on. The… More >
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