Despite being a worldwide health issue that often goes unnoticed, typhoid fever causes considerable levels of morbidity in many parts of the world, with roughly 12 million cases and 600,000 deaths per year. Typhoid is difficult to diagnose because of how similar its clinical symptoms are to those of many other febrile infections, including malaria, yellow fever, etc. Additionally, the majority of underdeveloped nations lack sufficient bacteriology laboratories for additional research. Although decision support systems have been shown to improve access and efficiency in the diagnosis process, the majority of current decision support models for disease diagnosis have mostly concentrated on “non-tropical” ailments. Only by engineering the practical experience of medical professionals who are experts in the care of such situations can a decision support model for the diagnosis of tropical diseases be created. In this work, we drew on the practical expertise of 25 doctors who specialize in tropical diseases to create a decision-support system based on the Analytic Hierarchy Process (AHP). Based on data from 2044 patients, the resulting model was evaluated. In 78.91% of the instances, our model correctly identified whether typhoid fever had occurred (or not), proving the value of AHP in typhoid fever diagnosis
