Modelling Differential Diagnosis of Febrile Diseases with Fuzzy Cognitive Map

The report of the World Health Organization (WHO) about poor accessibility people living in low-to-middle-income countries to medical facilities and personnel has been a concern both professionals nonprofessionals healthcare. This led high morbidity mortality rates tropical regions, especially when such disease presents itself with confusable symptoms that are not easily differentiable by inexperienced doctors, as those found febrile diseases. prompted development fuzzy cognitive map (FCM) model serve decision-support tool for health workers diagnosis With 2465 datasets gathered from four states diseases-prone regions Nigeria aid 60 10 doctors helped weighting fuzzifying symptoms, which were used generate FCM model. Results obtained computations predict results patients, diagnosed physicians on field, showed an average 87% accuracy 11 diseases study. number comorbidities varying degrees severity most patients study also covary strongly field.