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＜電子ブック＞
Pattern Recognition Techniques Applied to Biomedical Problems / edited by Martha Refugio Ortiz-Posadas
(STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health. ISSN:25201948)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
本文言語	英語
大きさ	X, 221 p. 68 illus., 46 illus. in color : online resource
著者標目	Ortiz-Posadas, Martha Refugio editor SpringerLink (Online service)
件　名	LCSH:Information visualization LCSH:Biomathematics LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Pattern recognition systems FREE:Data and Information Visualization FREE:Mathematical and Computational Biology FREE:Mathematical Applications in Computer Science FREE:Automated Pattern Recognition
一般注記	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 witha special interest in state-of-the-art pattern recognition techniques as applied to biomedicine HTTP:URL=https://doi.org/10.1007/978-3-030-38021-2

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