Overview
- Uses a coherent design of chapters covering NLP methods, systems and applications, with useful examples and cases
- Contains pedagogical features such as learning objectives, glossaries, references, key readings and example questions
- Features schematics and illustrations to explain key points
Part of the book series: Cognitive Informatics in Biomedicine and Healthcare (CIBH)
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About this book
Natural Language Processing in Biomedicine: A Practical Guide introduces the history of the biomedical NLP field and takes the reader through the basic aspects of NLP including different levels of linguistic information and widely used machine learning and deep learning algorithms. The book details common biomedical NLP tasks, such as named entity recognition, concept normalization, relation extraction, text classification, information retrieval, and question answering. The book illustrates the tasks with real-life use cases and introduces real-world datasets, novel machine learning and deep learning algorithms, and large language models. Relevant resources for corpora and medical terminologies are also introduced. The final chapters are devoted to discussing applications of biomedical NLP in healthcare and life sciences. This textbook therefore represents essential reading for students in biomedical informatics programs, as well as for professionals who are conducting research or building biomedical NLP systems.
Keywords
Table of contents (15 chapters)
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Introduction and Basic Knowledge
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Biomedical NLP Tasks and Methods
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Systems and Applications
Editors and Affiliations
About the editors
Dr. Dina Demner-Fushmsn is an Investigator at the National Library of Medicine, NIH. Dr. Demner-Fushman leads research in the areas of Information Extraction for Clinical Decision Support, EMR Database Research and Development, and Image and Text Indexing for Clinical Decision Support and Education. The outgrowths of these projects are the evidence-based decision support system, InfoBot, used at the NIH Clinical Center from 2009 to 2020, an image retrieval engine, Open-i, launched in 2012, and an automatic question answering service CHiQA launched in 2018. Dr. Demner-Fushman authored more than 300 articles, book chapters and books in the fields of information retrieval, natural language processing, and biomedical and clinical informatics. Dr. Demner-Fushman is a Fellow of the American College of Medical Informatics (ACMI), an Associate Editor of the Journal of the American Medical Informatics Association, a member of Nature’s Scientific Data Editorial Board, past chair of the AMIA NLP SIG, and a founding member and chair of the Association for Computational Linguistics (ACL) Special Interest Group on biomedical natural language processing.
Bibliographic Information
Book Title: Natural Language Processing in Biomedicine
Book Subtitle: A Practical Guide
Editors: Hua Xu, Dina Demner Fushman
Series Title: Cognitive Informatics in Biomedicine and Healthcare
DOI: https://doi.org/10.1007/978-3-031-55865-8
Publisher: Springer Cham
eBook Packages: Medicine, Medicine (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-55864-1Published: 09 June 2024
Softcover ISBN: 978-3-031-55867-2Due: 10 July 2024
eBook ISBN: 978-3-031-55865-8Published: 08 June 2024
Series ISSN: 2662-7280
Series E-ISSN: 2662-7299
Edition Number: 1
Number of Pages: XVI, 444
Number of Illustrations: 33 b/w illustrations, 42 illustrations in colour
Topics: Health Informatics, Cognitive Psychology