Hep-Pred: Hepatitis C Staging Prediction Using Fine Gaussian SVM

Hepatitis C is a contagious blood-borne infection, and it mostly asymptomatic during the initial stages. Therefore, difficult to diagnose treat patients in early stages of infection. The disease’s progression its last makes diagnosis treatment more difficult. In this study, an AI system based on machine learning algorithms presented help healthcare professionals with hepatitis C. dataset used for our Hep-Pred model literature includes records 1385 infected virus. Patients received dosages virus about 18 months. A former study divided disease into four main These have proven helpful doctors analyze liver’s condition. traditional way check staging biopsy, which painful time-consuming process. This article aims provide effective efficient approach predict staging. For purpose, proposed technique uses fine Gaussian SVM algorithm, providing 97.9% accurate results.