Statistical Learning For Biomedical Data
Download and Read Statistical Learning For Biomedical Data full books in PDF, ePUB, and Kindle. Read online free Statistical Learning For Biomedical Data ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Statistical Learning for Biomedical Data
Author | : James D. Malley |
Publisher | : Cambridge University Press |
Total Pages | : 301 |
Release | : 2011-02-24 |
Genre | : Medical |
ISBN | : 1139496859 |
Download Statistical Learning for Biomedical Data Book in PDF, Epub and Kindle
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.
Statistical Learning for Biomedical Data Related Books
Pages: 301
Pages: 285
Pages: 617
Pages: 312
Pages: 260