Machine Learning in Medicine Cookbook is popular PDF and ePub book, written by Ton J. Cleophas in 2014-01-03, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Machine Learning in Medicine Cookbook can be Read Online from any device for your convenience.

Machine Learning in Medicine Cookbook Book PDF Summary

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 the International Association of Biostatistics and a clinician and past-president of the American College of Angiology, provide plenty of step-by-step analyses from their own research and data files for self-assessment are available at extras.springer.com. From their experience the authors demonstrate that 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.

Detail Book of Machine Learning in Medicine Cookbook PDF

Machine Learning in Medicine   Cookbook
  • Author : Ton J. Cleophas
  • Release : 03 January 2014
  • Publisher : Springer Science & Business Media
  • ISBN : 9783319041810
  • Genre : Medical
  • Total Page : 131 pages
  • Language : English
  • PDF File Size : 9,6 Mb

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