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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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發(fā)表于 2025-3-21 19:37:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optimization and Data Analysis in Biomedical Informatics
編輯Panos M. Pardalos,Thomas F. Coleman,Petros Xanthop
視頻videohttp://file.papertrans.cn/704/703202/703202.mp4
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
叢書名稱Fields Institute Communications
圖書封面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
關(guān)鍵詞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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Strategies for Bias Reduction in Estimation of Marginal Means with Data Missing at Random,uxiliary variables driving the missing data mechanism. The latter can be a challenge in practice, particularly when the covariates are of high dimension or are a mixture of continuous and categorical variables. The IPWEE approach therefore has considerable appeal in many practical settings.
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Onur ?eref,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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