DIAGNOSTIC ANALYSIS AND PROGNOSTIC ASSESSMENT OF ENTERIC FEVER USING FUZZY CLASSIFIER

Abstract

Enteric fever is contracted by the ingestion of the bacteria in contaminated food or water; it is a fever common to poor sanitation environments. Enteric fever is an acute illness associated with fever that is most often caused by the Salmonellatyphi bacteria. It can also be caused by Salmonella paratyphi, a related bacterium that usually leads to a less severe illness. Enteric fever can be prevented by avoiding contaminated foods, water and get vaccinated after enteric fever. The symptoms of enteric fever are life-threatening and includes high fever, headache, constipation, malaisechills, mild vomiting, abdominal pain, tongue changes, thirst, diarrhoea, fatigue, slow heartbeat, myalgia and anemia. In this paper, the traditional procedure of the medical diagnosis of Enteric fever employed by physicians is expressed using Fuzzy classifier. The proposed expert system eliminates uncertainty and imprecision associated with the diagnosis of Enteric fever