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Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data.

, , , , , and . CBMS, page 224-. IEEE Computer Society, (2004)

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Detection and Classification of Organophosphate Nerve Agent Simulants Using Support Vector Machines with Multiarray Sensors., , , , , , , and . Journal of Chemical Information and Modeling, 44 (2): 499-507 (2004)Kernelized partial least squares for feature reduction and classification of gene microarray data., , , , , , , , and . BMC Syst. Biol., 5 (S-3): S13 (2011)Breast cancer computer aided diagnosis (CAD) using a recently developed SVM/GRNN Oracle hybrid., , , , and . SMC, page 4705-4711. IEEE, (2003)A kernel approach for ensemble decision combinations with two-view mammography applications., , , and . I. J. Functional Informatics and Personalised Medicine, 3 (2): 157-182 (2010)Part III: Healthcare Systems.. Complex Adaptive Systems, volume 20 of Procedia Computer Science, page 360-361. Elsevier, (2013)Development of a Complex Adaptive PNN System for the Rapid Detection of E.coli., , , , , and . Complex Adaptive Systems, volume 20 of Procedia Computer Science, page 342-347. Elsevier, (2013)A Multi-class Probabilistic Neural Network for Pathogen Classification., , , , , and . Complex Adaptive Systems, volume 20 of Procedia Computer Science, page 348-353. Elsevier, (2013)Predicting with Confidence: Extensions to the GRNN Oracle Enabling Quantification of Confidence in Predictions., and . Complex Adaptive Systems, volume 61 of Procedia Computer Science, page 381-387. Elsevier, (2015)Applying Support Vector Machines to Breast Cancer Diagnosis using Screen Film Mammogram Data., , , , , and . CBMS, page 224-. IEEE Computer Society, (2004)An End-to-End Process for Cancer Identification from Images of Lung Tissue., , , , and . BIBE, page 233-239. IEEE Computer Society, (2007)