Hepatitis Disease Diagnosis Using Hybrid Case Based Reasoning and Particle Swarm Optimization

Table 1

Classification accuracies for hepatitis disease classification problem.

Authors	Method	Classification accuracy (%)	Reference
	Weighted 9 NN	92.9
Duch and Grudzinski	18 NN, stand, manhattan	90.2	[19]
	15 NN, stand, Euclidean	89.0
	FSM with rotational	89.7
Duch et al.	FSM without rotational	88.5	[20]
	RBF(tooldiag)	79
	MLP+BP(tooldiag)	77.4
	LDA	86.4
	Naïve Bayes and semi NB	86.3
	QAD	85.8
	1-NN	85.3
	ASR	85
Ster and Dobnikar	Fisher discriminant analysis	84.5	[21]
	LVQ	83.2
	CART(decision tree)	82.7
	MLP with BP	82.1
	ASI	82.0
	LFC	81.9
Jankowski	IncNET	86.0	[22]
	MLP	74.37
Ozyilmaz and Yildirim	RBF	83.75	[23]
	GRNN	80.0
Bascil and Temurtas	MLNN with Levenberg Marquardt	91.87	[24]