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Pattern Recognition Techniques Applied to Biomedical Problems
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Pattern Recognition Techniques Applied to Biomedical Problems

2020 ed.

Book Details

Format Paperback / softback
ISBN-10 3030380238
ISBN-13 9783030380236
Edition 2020 ed.
Publisher Springer Nature Switzerland AG
Imprint Springer Nature Switzerland AG
Country of Manufacture GB
Country of Publication GB
Publication Date Mar 1st, 2021
Print length 221 Pages
KSh 8,100.00
Currently unavailable 0 in stock

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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.

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 with a special interest in state-of-the-art pattern recognition techniques as applied to biomedicine.


Get Pattern Recognition Techniques Applied to Biomedical Problems by Martha Refugio Ortiz-Posadas at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer Nature Switzerland AG and it has 221 pages.

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