Nov 24, 2018 · In this study, a hybrid intelligent approach, combining information gain method and adaptive neuro-fuzzy inference system (ANFIS), is proposed ...
Nov 1, 2019 · After the preprocessing stage, information gain method is applied to condense the number of features in order to decrease computation time and ...
Nov 27, 2018 · Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method. November 2019; Soft Computing 23(21).
Ahmad, Waheed,et al."Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method".SOFT COMPUTING 23.21(2019):10931- ...
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Abstract—in this paper an adaptive neural fuzzy system has been designed for diagnosing the hepatitis B intensity rate. The main problem in determining the ...
Hybrid ANFIS had proved its usefulness and relevance for liver disorder diagnosis; hybridization approach allows particle swarm optimization (PSO) to be ...
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Oct 3, 2019 · Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method. Soft Computing, pages 1–8, 2018 ...
The hybrid PCA-ANFIS method is achieved remarkable higher Accuracy (97.41%) compared with the state-of-the-art, and it can be an adopted tool for diagnosing ...
In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) was employed to invoke neural network that provided structures for fuzzy inference engine (FIE) in ...
Jun 28, 2020 · This study extensively reviewed 37 papers on AI based techniques for diagnosing core hepatitis viral disease.