Overview
- Covers various pattern recognition techniques with applications in biomedicine
- Measures how efficient such methods are for processing medical information
- Offers computational tools and methodologies as auxiliary criteria in diagnosis and treatment strategies
Part of the book series: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health (STEAM)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of classification, with a special focus on—but not limited to—pattern recognition modeling of biomedical signals and images.
Multidisciplinary by definition, the book’s topic blends computing, mathematics and other technical sciences towards the development of computational tools and methodologies that can be applied to pattern recognition processes.In this work, the efficacy of such methods and techniques for processing medical information is analyzed and compared, and auxiliary criteria for determining the correct diagnosis and treatment strategies are recommended and applied.
Researchers in applied mathematics, the computer sciences, engineering and related fields with a focus on medical applications will benefit from this book, as well as professionals witha special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.
Editors and Affiliations
About the editor
Martha Refugio Ortiz-Posadas is a Professor at the Electrical Engineering Department, Universidad Autónoma Metropolitana, Iztapalapa, Mexico.
Bibliographic Information
Book Title: Pattern Recognition Techniques Applied to Biomedical Problems
Editors: Martha Refugio Ortiz-Posadas
Series Title: STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health
DOI: https://doi.org/10.1007/978-3-030-38021-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-38020-5Published: 01 March 2020
Softcover ISBN: 978-3-030-38023-6Published: 01 March 2021
eBook ISBN: 978-3-030-38021-2Published: 29 February 2020
Series ISSN: 2520-193X
Series E-ISSN: 2520-1948
Edition Number: 1
Number of Pages: X, 221
Number of Illustrations: 22 b/w illustrations, 46 illustrations in colour
Topics: Visualization, Physiological, Cellular and Medical Topics, Mathematical Applications in Computer Science, Pattern Recognition