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Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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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: [email protected] 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.

Keywords: Typhoid fever; Diagnosis; Fuzzy logic; Neural network; Hybrid Intelligent System; ANFIS

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