{"product_id":"machine-learning-in-medicine-cookbook-two-by-ton-j-cleophas","title":"Machine Learning in Medicine - Cookbook Two by Ton J Cleophas ISBN 9783319074122","description":"\u003cp\u003e\u003cb\u003eMachine Learning in Medicine - Cookbook Two by Ton J Cleophas\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eThe 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.\u003c\/p\u003e\u003cp\u003eFor this reason we produced a 100 page cookbook, entitled \"Machine Learning in Medicine - Cookbook One\", with data examples available at extras.springer.com for self-assessment and with reference to the above textbooks for background information. Already at the completion of this cookbook we came to realize, that many essential methods were not covered. The current volume, entitled \"Machine Learning in Medicine - Cookbook Two\" is complementary to the first and also intended for providing a more balanced view of the field and thus, as a must-read not only for physicians and students, but also for any one involved in the process and progress of health and health care.\u003c\/p\u003e\u003cp\u003eSimilarly to Machine Learning in Medicine - Cookbook One, the current work will describe stepwise analyses of over twenty machinelearning methods, that are, likewise, based on the three major machine learning methodologies:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCluster methodologies (Chaps. 1-3)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eLinear methodologies (Chaps. 4-11)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRules methodologies (Chaps. 12-20)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIn extras.springer.com the data files of the examples are given, as well as XML (Extended Mark up Language), SPS (Syntax) and ZIP (compressed) files for outcome predictions in future patients. In addition to condensed versions of the methods, fully described in the above three textbooks, an introduction is given to SPSS Modeler (SPSS' data mining workbench) in the Chaps. 15, 18, 19, while improved statistical methods like various automated analyses and Monte Carlo simulation models are in the Chaps. 1, 5, 7 and 8.\u003c\/p\u003e\u003cp\u003eWe should emphasize that all of the methods described have been successfully applied in practice by the authors, both of them professors in applied statistics and machine learning at the European Community College of Pharmaceutical Medicine in Lyon France. We recommend the current work not only as a training companion to investigators and students, because of plenty of step by step analyses given, but also as a brief introductory text to jaded clinicians new to the methods. For the latter purpose, background and theoretical information have been replaced with the appropriate references to the above textbooks, while single sections addressing \"general purposes\", \"main scientific questions\" and \"conclusions\" are given in place.\u003c\/p\u003e\u003cp\u003eFinally, we will demonstrate that modern machine learning performs sometimes better than traditional statistics does. Machine learning may have little options for adjusting confounding and interaction, but you can add propensity scores and interaction variables to almost any machine learning method.\u003c\/p\u003e\u003ch3\u003eBook details\u003c\/h3\u003e\u003ctable style=\"border-collapse:collapse;width:100%;\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eISBN 13\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003e9783319074122\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eISBN 10\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003e3319074121\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eAuthor\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003eTon J Cleophas\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eSeries\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003eSpringerbriefs In Statistics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eCondition\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003eNew\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eBinding Type\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003ePublisher\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003eSpringer International Publishing AG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eYear published\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003e2014-06-20\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eNumber of pages\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003e140\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align:left;padding:6px 10px;border:1px solid #ddd;\"\u003eCover note\u003c\/th\u003e\n\u003ctd style=\"padding:6px 10px;border:1px solid #ddd;\"\u003eBook picture is for illustrative purposes only, actual binding, cover or edition may vary.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":67708747055349,"sku":"9783319074122","price":39.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0795\/8632\/8821\/files\/9783319074122.jpg?v=1792077547","url":"https:\/\/arbiyas.com\/products\/machine-learning-in-medicine-cookbook-two-by-ton-j-cleophas","provider":"Arbiyas","version":"1.0","type":"link"}