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Titlebook: Optimization and Data Analysis in Biomedical Informatics; Panos M. Pardalos,Thomas F. Coleman,Petros Xanthop Book 2012 Springer Science+Bu

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发表于 2025-3-21 19:37:35 | 显示全部楼层 |阅读模式
书目名称Optimization and Data Analysis in Biomedical Informatics
编辑Panos M. Pardalos,Thomas F. Coleman,Petros Xanthop
视频video
概述Provides mathematical methods and cutting edge bioinformatics challenges that are of interest to researchers who want to pursue interdisciplinary studies.Balances between theory and application, makin
丛书名称Fields Institute Communications
图书封面Titlebook: Optimization and Data Analysis in Biomedical Informatics;  Panos M. Pardalos,Thomas F. Coleman,Petros Xanthop Book 2012 Springer Science+Bu
描述​This volume covers some of the topics that are related to the rapidly growing field of biomedical informatics. In June 11-12, 2010 a workshop entitled ‘Optimization and Data Analysis in Biomedical Informatics’ was organized at The Fields Institute. Following this event invited contributions were gathered based on the talks presented at the workshop, and additional invited chapters were chosen from world’s leading experts. In this publication, the authors share their expertise in the form of state-of-the-art research and review chapters, bringing together researchers from different disciplines and emphasizing the value of mathematical methods in the areas of clinical sciences. This work is targeted to applied mathematicians, computer scientists, industrial engineers, and clinical scientists who are interested in exploring emerging and fascinating interdisciplinary topics of research. It is designed to further stimulate and enhance fruitful collaborations between scientists from different disciplines.​
出版日期Book 2012
关键词Cardiovascular Informatics; Mathematical Models of medical diagnosis; Predictive Model for Early Detec
版次1
doihttps://doi.org/10.1007/978-1-4614-4133-5
isbn_softcover978-1-4899-9966-5
isbn_ebook978-1-4614-4133-5Series ISSN 1069-5265 Series E-ISSN 2194-1564
issn_series 1069-5265
copyrightSpringer Science+Business Media New York 2012
The information of publication is updating

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Mathematical Models of Supervised Learning and Application to Medical Diagnosis,uited to cases under consideration, they do not provide accurate answers in general. Therefore, it is necessary to identify a subset of the training set which contains all available information, providing a model that still generalizes to new testing data. It is also possible that the training sets
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möglichen die direkte Umsetzung in die tägliche Praxis. Zuverlässig: anerkannte Experten aus ganz Deutschland stehen für maximale fachliche Kompetenz. ..Neu in der 4. Auflage: Rehabilitation bei Tumorpatienten; Notfälle in der Uroonkologie; Grundlagen der Palliativmedizin; Uroonkologie beim älteren Patienten..978-3-540-33848-2
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Onur Şeref,W. Art Chaovalitwongsetor. They could see no reason to expect such boundaries to emerge intrinsically and the few empirical examples available at that time seemed to be easily explained as cases of secondary contact after a period of complete geographical isolation [.]. Since publication of [.], spatial boundaries betwee
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Gianluca Gazzola,Chun-An Chou,Myong K. Jeong,W. Art Chaovalitwongsecorrectly and completely retain data uncertainty in forecasting work. The book presents numerical methods which permit successful forecasting not only in engineering but also in many other ?elds such as environmental science or economics, assuming of course that a suitable sequence of observed data
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