| 書目名稱 | Machine Learning in Medicine - Cookbook Two | | 編輯 | Ton J. Cleophas,Aeilko H. Zwinderman | | 視頻video | http://file.papertrans.cn/621/620695/620695.mp4 | | 概述 | Machine learning is an innovation in the medical field.So far a book on the subject to a medical audience has not been published.The book is time-friendly.The book is multipurpose, (1) an introduction | | 叢書名稱 | SpringerBriefs in Statistics | | 圖書封面 |  | | 描述 | .The amount of data medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional data analysis has difficulty to identify outliers and patterns in big data and data with multiple exposure / outcome variables and analysis-rules for surveys and questionnaires, currently common methods of data collection, are, essentially, missing. Consequently, proper data-based health decisions will soon be impossible..Obviously, it is time that medical and health professionals mastered their reluctance to use machine learning methods and this was the main incentive for the authors to complete a series of three textbooks entitled “Machine Learning in Medicine Part One, Two and Three, Springer Heidelberg Germany, 2012-2013", describing in a nonmathematical way over sixty machine learning methodologies, as available in SPSS statistical software and other major software programs. Although well received, it came to our attention that physicians and students often lacked time to read the entire books, and requested a small book, without background information and theoretical discussions and highlighting technical details..For this reason we produced a 100 pag | | 出版日期 | Book 2014 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-07413-9 | | isbn_softcover | 978-3-319-07412-2 | | isbn_ebook | 978-3-319-07413-9Series ISSN 2191-544X Series E-ISSN 2191-5458 | | issn_series | 2191-544X | | copyright | The Author(s) 2014 |
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