书目名称 | Machine Learning in Medicine - Cookbook | 编辑 | Ton J. Cleophas,Aeilko H. Zwinderman | 视频video | | 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 | 丛书名称 | SpringerBriefs in Statistics | 图书封面 |  | 描述 | .The amount of data in medical databases doubles every 20 months, and physicians are at a loss to analyze them. Also, traditional methods of data analysis have 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..Obviously, it is time that medical and health professionals mastered their reluctance to use machine learning and the current 100 page cookbook should be helpful to that aim. It covers in a condensed form the subjects reviewed in the 750 page three volume textbook by the same authors, entitled “Machine Learning in Medicine I-III” (ed. by Springer, Heidelberg, Germany, 2013) and was written as a hand-hold presentation and must-read publication. It was written not only to investigators and students in the fields, but also to jaded clinicians new to the methods and lacking time to read the entire textbooks..General purposes and scientific questions of the methods are only briefly mentioned, but full attention is given to the technical details. The two authors, a statistician and current president of | 出版日期 | Book 2014 | 关键词 | Computer science; Data mining; Machine learning; SPSS Modeler; SPSS statistical software | 版次 | 1 | doi | https://doi.org/10.1007/978-3-319-04181-0 | isbn_softcover | 978-3-319-04180-3 | isbn_ebook | 978-3-319-04181-0Series ISSN 2191-544X Series E-ISSN 2191-5458 | issn_series | 2191-544X | copyright | The Author(s) 2014 |
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