Journal of Medical Diagnostic Methods
Open Access

Omisore MO

Publications

• Research Article
  Enhanced Neuro-Fuzzy System Based on Genetic Algorithm for Medical Diagnosis
  Author(s): Asogbon MG, Samuel OW, Omisore MO, Awonusi O Asogbon MG, Samuel OW, Omisore MO, Awonusi O
  
  Objective: The aim of this study was to optimize the performance of an Adaptive Neuro-Fuzzy Inference System (ANFIS) in terms of its connection weights which is usually computed based on trial and error when used to diagnose Typhoid fever patients. Methods: This research proposed the use of Genetic Algorithm (GA) technique to automatically evolve optimum connection weights needed to efficiently train a built ANFIS model used for Typhoid fever diagnosis. The GA module computes the best set of connection weights, stores them, and later supplies them to the corresponding hidden layer nodes for training the ANFIS. The medical record of 104 Typhoid fever patients aged 15 to 75 were used to evaluate the performance of the multi-technique decision support system. 70% of the dataset was used training data, 15% was used for validation while the remaining 15% was used to observe the p.. View More»
  DOI: 10.4172/2168-9784.1000205

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