Typhoid fever is one of the major life
threatening diseases, accounting for the death of
millions of people every year apart from
contributing to economic backwardness, mostly in
Africa. Prompt and accurate diagnosis is a major
key in the medical field, the large number of
deaths associated with typhoid fever is as a result of
many factors which include: poor diagnosis, selfmedication, shortage of medical experts and
insufficient health institutions. These prompted for
the development of a typhoid diagnosis system that
can be used by anyone of average intelligence as this
will assist in quick diagnosis of the disease despite
shortage of health institutions and medical experts.
A fuzzy logic technique was used on the labeled set of
typhoid fever conditional variables to generate
explainable rules for the diagnosis of typhoid fever.
The labeled database was divided into five different
levels of severity of typhoid fever and the
classification accuracies on both the training set
and testing set are 95% and 96% respectively.
Implementation was carried out using Matlab as front
end and MySQL as database.