Date of Publication :15th June 2024

Abstract:This study article provides a thorough investigation into medical diagnostics, with a specific emphasis on improving the detection of Hepatitis B utilizing advanced fuzzy logic approaches. The study commences by doing a comprehensive examination of the current inference systems specifically designed for Hepatitis B diagnosis, assessing their effectiveness and precision. Following that, the research focuses on the thorough gathering and preparation of data from patients with Hepatitis B, ensuring that it is ready for rigorous analysis. The main contribution is the creation of an intelligent hybrid system that utilizes fuzzy logic's ability to handle ambiguity in order to greatly improve diagnostic accuracy. The paper concludes by conducting a comprehensive comparative analysis, assessing the proposed system in relation to existing methodologies based on important metrics such as classification accuracy, sensitivity, specificity, and precision. This analysis sets the stage for the development of more dependable and efficient methods for diagnosing Hepatitis B in healthcare settings.

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