Журнал компьютерной инженерии и информационных технологий

Hybrid Intelligent System for the Diagnosis of Typhoid Fever

Samuel Oluwarotimi Williams and Omisore Mumini Olatunji

Hybrid Intelligent System for the Diagnosis of Typhoid Fever

The diagnosis of Typhoid Fever (TF) is often complicated due to the significant number of vague variables involved. As a result of this complexity, several lives have been lost while others are living with deteriorated health status. This research proposes a Hybrid Intelligent System which provides an efficient means of handling the complexity associated with the diagnosis of TF.