Taher M. Ghazal1,2, Marrium Anam3, Mohammad Kamrul Hasan1, Muzammil Hussain4,*, Muhammad Sajid Farooq5, Hafiz Muhammad Ammar Ali4, Munir Ahmad6, Tariq Rahim Soomro7
CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 191-203, 2021, DOI:10.32604/cmc.2021.015436
- 04 June 2021
Abstract Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of infection. The disease’s progression to its last stages makes diagnosis and treatment more difficult. In this study, an AI system based on machine learning algorithms is presented to help healthcare professionals with an early diagnosis of hepatitis C. The dataset used for our Hep-Pred model is based on a literature study, and includes the records of 1385 patients infected with the hepatitis C virus. Patients More >
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