THE USE OF A MACHINE LEARNING ALGORITHM, AND ARTIFICIAL  NEURAL NETWORK (ANN) TO PREDICT HEPATITIS B VIRUS (HBV)

Douglas Ibrahim; Ayuba John; Christopher Richard Kodeke3

THE USE OF A MACHINE LEARNING ALGORITHM, AND ARTIFICIAL NEURAL NETWORK (ANN) TO PREDICT HEPATITIS B VIRUS (HBV)

Abstract: Hepatitis B is a liver infection caused by the hepatitis B virus (HBV). It might be acute and resolve on its own. Some kinds, however, can be persistent, leading to cirrhosis and liver cancer. A person can have HBV and spread the virus to others without realizing it; some persons have no symptoms, while others only have the first infection, which then resolves. For others, the condition becomes chronic. In chronic cases, the virus continues to attack the liver over time without detection, resulting in irreversible liver damage. The manual system contain large amount of errors by virtue of human decision, tedious and expensive in terms of labor requirements. This project proposed machine learning algorithm; Artificial Neural Network to predict the occurrence of Hepatitis. Performance Evaluation results of ANN shows the effectiveness of the proposed approach with the overall Accuracy (61.85%), Specificity (55.48%) and Sensitivity (68.42%). In this study, hepatitis B was predicted using Artificial Neural Network (ANN) classifier. The prediction was found to have acceptable performance measures which will aid timely response of medical experts.

JASIC Volume. 3, Issue 1 (2022)

Contributor(s)

Keywords

Download Full-text (PDF)

THE USE OF A MACHINE LEARNING ALGORITHM, AND ARTIFICIAL NEURAL NETWORK (ANN) TO PREDICT HEPATITIS B VIRUS (HBV)