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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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Lenguaje: | eng |
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Springer
2020
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Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-38021-2 http://cds.cern.ch/record/2711912 |
_version_ | 1780965263885205504 |
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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. |
id | cern-2711912 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
publisher | Springer |
record_format | invenio |
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 |
work_keys_str_mv | AT ortizposadasmartha patternrecognitiontechniquesappliedtobiomedicalproblems |