Statistical Learning for Biomedical Data PDF
By:James D. Malley,Karen G. Malley,Sinisa Pajevic
Published on 2011-02-24 by Cambridge University Press
This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random ForestsTM, neural nets, support vector machines, nearest neighbors and boosting.
This Book was ranked at 16 by Google Books for keyword Biostatistics.
Book ID of Statistical Learning for Biomedical Data's Books is WvoLsY6bYNwC, Book which was written byJames D. Malley,Karen G. Malley,Sinisa Pajevichave ETAG "+qI0fiOlen8"
Book which was published by Cambridge University Press since 2011-02-24 have ISBNs, ISBN 13 Code is 9781139496858 and ISBN 10 Code is 1139496859
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