Implementation of a Web-Based Expert System Model for Detecting Urinary Tract Infections

Abstract

Different information systems have been developed for different purposes, especially in the health field. Many diseases are known locally and worldwide; however, the specificity of the research is based on urinary infections that occur constantly in different patients of all ages. To avoid the collapse of the high demand for patients in public health centres, an expert web system has been implemented to predict urological infections using the programming language SWI-PROLOG to diagnose these urinary infections, and this predicts what type of urinary infection the patient who uses it has through its symptoms. In this research, the Buchanan methodology was used, which consists of 4 phases that allowed the development of each phase to implement the web expert system. To validate the system, a survey of users - patients who use the system - was carried out with a questionnaire of 15 questions grouped into 3 dimensions, the result of which was an acceptance rate of 90%. In conclusion, this web expert system has been developed successfully, benefiting many people with the problem of long waiting times in health centres and preventing and providing the appropriate treatment to patients. © 2023 Elsevier B.V., All rights reserved.