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Pattern recognition techniques appli...

Ortiz-Posadas, Martha Refugio.

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Pattern recognition techniques applied to biomedical problems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pattern recognition techniques applied to biomedical problems/ edited by Martha Refugio Ortiz-Posadas.
其他作者:	Ortiz-Posadas, Martha Refugio.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	x, 221 p. :ill., digital ;24 cm.
內容註:	On the classification of independent components for biomedical signals de-noising: two study cases -- Pattern recognition applied to the analysis of genomic data and its association to diseases -- Image analysis method for the detection of Chagas parasite in blood image -- Monitoring and evaluating public health interventions -- Recognition of nausea patterns in multichannel electrogastrography -- Random Forest for Prediction of HIV Drug Resistance -- Analysis of cardiac contraction patterns -- Pattern Recognition of Chronic Patients Home Life and Out Patient Visits to Automate Follow up and Clinical Management -- Pattern recognition in medical equipment replacement at hospitals.
Contained By:	Springer eBooks
標題:	Pattern recognition systems. -
電子資源:	https://doi.org/10.1007/978-3-030-38021-2
ISBN:	9783030380212

Pattern recognition techniques applied to biomedical problems
Pattern recognition techniques applied to biomedical problems[electronic resource] /edited by Martha Refugio Ortiz-Posadas. - Cham :Springer International Publishing :2020. - x, 221 p. :ill., digital ;24 cm. - STEAM-H. - STEAM-H..

On the classification of independent components for biomedical signals de-noising: two study cases -- Pattern recognition applied to the analysis of genomic data and its association to diseases -- Image analysis method for the detection of Chagas parasite in blood image -- Monitoring and evaluating public health interventions -- Recognition of nausea patterns in multichannel electrogastrography -- Random Forest for Prediction of HIV Drug Resistance -- Analysis of cardiac contraction patterns -- Pattern Recognition of Chronic Patients Home Life and Out Patient Visits to Automate Follow up and Clinical Management -- Pattern recognition in medical equipment replacement at hospitals.

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.

ISBN: 9783030380212

Standard No.: 10.1007/978-3-030-38021-2doiSubjects--Topical Terms:

527885
Pattern recognition systems.

LC Class. No.: TK7882.P3 / P388 2020

Dewey Class. No.: 006.4

Pattern recognition techniques applied to biomedical problems
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520 $a 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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