Beschreibung:
Hagit Shatkay is Associate Professor in the Department of Computer and Information Sciences and Head of the Computational Biomedicine Lab at the University of Delaware.
A concise introduction to fundamental methods for finding and extracting relevant information from the ever-increasing amounts of biomedical text available
"The explosive growth of the biomedical literature and the breakdown of disciplinary boundaries in biomedical research make text mining an indispensable part of modern molecular biomedicine. Mining the Biomedical Literature clearly introduces the key ideas and applications to computational biologists looking to get started in this exciting field."--Lawrence Hunter, University of Colorado School of Medicin "This book provides a lucid and accessible exposition of the most important topics in biomedical text mining and related areas of information retrieval, information extraction, and machine learning. Readers will enjoy well-chosen examples of biomedical applications and textual snippets, as well as a balanced treatment of diverse computational techniques used today. The book even provides the most important competition venues for text-mining systems."--Andrey Rzhetsky, Professor of Medicine and Human Genetics, Computation Institute and Institute for Genomics and Systems Biology, University of Chicago