Data Mining in Healthcare and Biomedicine: A Survey of the Literature
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Cites background or methods from "Data Mining in Healthcare and Biome..."
...The authors in [18,20] found the data mining algorithms mainly in two categories (1) descriptive or unsupervised learning (i....
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...This approach is also known as supervised learning models [20] where it includes feature extraction, training and testing steps while performing the prediction of the data behavior....
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References
40,147 citations
"Data Mining in Healthcare and Biome..." refers background or methods in this paper
...Vladimir Vapnik and co-workers at AT&T Bell Laboratories introduced the Support Vector Machine (SVM) in 1992 [51] and extended SVM in 1995 [ 52 ]....
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...SVM is based on the statistical learning theory [ 52 , 54] and is designed to solve two-class classification problems (e.g., safe vs. risky)....
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...Later, SVM [ 52 ] supplied nonlinear kernel functions such as polynomial and radial basis functions for better classification accuracy....
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...C4.5 [ 50 ], as a successor of ID3, is the most widely-used decision tree algorithm....
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19,603 citations
"Data Mining in Healthcare and Biome..." refers methods in this paper
...Fig. 1 Decision tree example (the class is CT_Scan_Required) —Weka [ 110 ] was used to generate the decision tree J Med Syst...
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16,118 citations