A web based intelegent decision support system for early diagnosis of different classes of hepatitis

Abstract

The liver is a vital organ in the human body that processes nutrients, filters the blood and fights against  infections. In a situation where the liver can no longer performs its functions, may result to various health issues, and by extension lead to hepatitis (A, B, C, D and E) virus. The hepatitis infections are the relative incidence of disease induced death worldwide. Based on this global health challenge, different decision support systems have been developed for prompt diagnosis. However, existing decision support systems do not take into account a centralized system for the early diagnosis of the various classes of hepatitis (A, B, C, D and E). The new system addresses the shortcomings of existing systems via a centralized (web-based) diagnostic decision support system for early detection of the disease. Additionally, the centralized decision support system is enhanced for prompt diagnosis of the disease if a permissible trenched-hood limit is exceeded, then, the individual can seek medical attention and treatment quickly inferred. The centralized system was developed using Hypertext Preprocessing Language (PHP) as front-end with My Structured Querry Language (MYSQL) as the back-end