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Hindi Research Article, J Comput Eng Inf Technol Vol: 2 Issue: 3
Hybrid Intelligent System for the Diagnosis of Typhoid Fever
| Samuel Oluwarotimi Williams* and Omisore Mumini Olatunji |
| CDepartment of Computer Science, Federal University of Technology, Akure, Nigeria |
| Corresponding author : Samuel Oluwarotimi Williams Department of Computer Science, Federal University of Technology, P.M.B. 704, Akure, Nigeria Tel: +234 8032397138 E-mail: timitex92@ gmail.com |
| Received: June 07, 2013 Accepted: August 16, 2013 Published: August 26, 2013 |
| Citation: Samuel OW,Omisore MO (2013) Hybrid Intelligent System for the Diagnosis of Typhoid Fever. J Comput Eng Inf Technol 2:2. doi:10.4172/2324-9307.1000109 |
Abstract
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.
