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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 d...

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Detalles Bibliográficos
Autor principal: Ortiz-Posadas, Martha
Lenguaje:eng
Publicado: Springer 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-38021-2
http://cds.cern.ch/record/2711912
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author Ortiz-Posadas, Martha
author_facet Ortiz-Posadas, Martha
author_sort Ortiz-Posadas, Martha
collection CERN
description 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.
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spelling cern-27119122021-04-21T18:09:22Zdoi:10.1007/978-3-030-38021-2http://cds.cern.ch/record/2711912engOrtiz-Posadas, MarthaPattern recognition techniques applied to biomedical problemsMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:27119122020
spellingShingle Mathematical Physics and Mathematics
Ortiz-Posadas, Martha
Pattern recognition techniques applied to biomedical problems
title Pattern recognition techniques applied to biomedical problems
title_full Pattern recognition techniques applied to biomedical problems
title_fullStr Pattern recognition techniques applied to biomedical problems
title_full_unstemmed Pattern recognition techniques applied to biomedical problems
title_short Pattern recognition techniques applied to biomedical problems
title_sort pattern recognition techniques applied to biomedical problems
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-030-38021-2
http://cds.cern.ch/record/2711912
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