Titlebook: Applications of Intelligent Optimization in Biology and Medicine; Current Trends and O Aboul-Ella Hassanien,Crina Grosan,Mohamed Fahmy To B

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Optimized Tumor Breast Cancer Classification Using Combining Random Subspace and Static Classifierstive method for early detection and screening of breast abnormalities is mammography. Computer aided design (CAD) systems are used to assist radiologists in better classification of tumor in a mammography as benign or malignant. Ensemble classifier construction has received considerable attention in

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https://doi.org/10.1007/978-1-4615-8729-3ft computing techniques based on data mining have been applied. Hybrid approaches derived from data mining algorithms are immensely incorporated for extraction and classification of clinical records to eliminate possible redundancy and missing details which can cause worse overhead issues for the de

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Applications of Intelligent Optimization in Biology and MedicineCurrent Trends and O

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1868-4394 be a useful compendium for a broad range of readers—from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.—who wish to enrich their knowledge on Intelligent Optimiz978-3-319-35569-6978-3-319-21212-8Series ISSN 1868-4394 Series E-ISSN 1868-4408

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PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification,re then subjected to principal component analysis (PCA) for reduction in feature space dimensionality. The SVM and PNN classifiers are used for the classification task. It is observed that the highest classification accuracy of 92.5 % is achieved with first four principal components derived from tex

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Systematic Analysis of Applied Data Mining Based Optimization Algorithms in Clinical Attribute Extrft computing techniques based on data mining have been applied. Hybrid approaches derived from data mining algorithms are immensely incorporated for extraction and classification of clinical records to eliminate possible redundancy and missing details which can cause worse overhead issues for the de

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Book 2016e and Static Classifiers Selection Paradigms, and Dental Image Registration. The book will be a useful compendium for a broad range of readers—from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.—who wish to enrich their knowledge on Intelligent Optimiz