Machine Learning in Medicine - Cookbook
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- Taschenbuch ausgewählt
- eBook
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Sprache:Englisch
49,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
14.01.2014
Abbildungen
XI, 137 p. 14 illus.
Verlag
SpringerSeitenzahl
137
Maße (L/B/H)
23,5/15,5/0,9 cm
Gewicht
242 g
Auflage
2014
Sprache
Englisch
ISBN
978-3-319-04180-3
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.
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.
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