@incollection{,
	
					
					
					D815A2903177F59E978F48C1B050442F
				,
	author={{DanaBani-Hani} and {PruthakPatel} and {TasneemAlshaikh} and {State University of New York at Binghamton}},
	journal={{Global Journal of Computer Science and Technology}},
	journal={{GJCST}}0975-41720975-435010.34257/gjcst,
	address={Cambridge, United States},
	publisher={Global Journals Organisation}192111
}

@incollection{b0,
	
	
		,
	title={{Random forests}}
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	author={{
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		,
	journal={{Machine learning}}
		
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	title={{ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases}}
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	title={{Decision Support System for a Chronic Disease-Diabetes}}
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	title={{Leukemia prediction from gene expression data-a rough set approach}}
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	title={{Diagnosing Parkinson by using artificial neural networks and support vector machines}}
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@incollection{b8,
	
	
		,
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@incollection{b9,
	
	
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	title={{Individual detection of patients with Parkinson disease using support vector machine analysis of diffusion tensor imaging data: initial results}}
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@incollection{b14,
	
	
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@incollection{b15,
	
	
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@incollection{b16,
	
	
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@incollection{b17,
	
	
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@incollection{b18,
	
	
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@incollection{b19,
	
	
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	title={{Assessment of artificial neural network for bathymetry estimation using High Resolution Satellite imagery in Shallow Lakes: case study El Burullus Lake}}
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	title={{A cascade learning system for classification of diabetes disease: Generalized discriminant analysis and least square support vector machine. Expert systems with applications}}
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@incollection{b23,
	
	
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@incollection{b24,
	
	
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@incollection{b25,
	
	
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	title={{Diagnosis by volatile organic compounds in exhaled breath from lung cancer patients using support vector machine algorithm}}
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	title={{Using the ADAP learning algorithm to forecast the onset of diabetes mellitus}}
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@incollection{b27,
	
	
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@incollection{b28,
	
	
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	title={{Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set}}
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@incollection{b29,
	
	
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	title={{A comparative study on diabetes disease diagnosis using neural networks}}
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	journal={{Expert Systems with applications}}
		
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	title={{Improving the prediction rate of diabetes diagnosis using fuzzy, neural network, case based (FNC) approach. Procedia engineering}}
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@incollection{b33,
	
	
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	title={{Genetic algorithm based feature selection and MOE Fuzzy classification algorithm on Pima Indians Diabetes dataset}}
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@incollection{b36,
	
	
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	title={{Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector machine}}
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@incollection{b37,
	
	
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	title={{Breast cancer diagnosis based on feature extraction using a hybrid of K-means and support vector machine algorithms}}
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@incollection{b38,
	
	
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	title={{Predictive modeling of hospital readmissions using metaheuristics and data mining}}
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@incollection{b39,
	
	
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	title={{An improved early detection method of type-2 diabetes mellitus using multiple classifier system}}
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}