Pattern Recognition Techniques Applied to Biomedical Problems
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.
1135147233
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.
Pattern Recognition Techniques Applied to Biomedical Problems
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.
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.
54.99
In Stock
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Pattern Recognition Techniques Applied to Biomedical Problems
221
Pattern Recognition Techniques Applied to Biomedical Problems
221Hardcover(1st ed. 2020)
$54.99
54.99
In Stock
Product Details
| ISBN-13: | 9783030380205 |
|---|---|
| Publisher: | Springer International Publishing |
| Publication date: | 03/01/2020 |
| Series: | STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health |
| Edition description: | 1st ed. 2020 |
| Pages: | 221 |
| Product dimensions: | 6.10(w) x 9.25(h) x (d) |
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