Llatas, Carlos Fernández, García-Gómez, Juan Miguel (Eds.)
2015, XII, 270 p. 92 illus., 82 illus. in color.
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Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts
This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies
Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field.
Content Level »Professional/practitioner
Keywords »Bayesian perspective - Cloud Computing technologies - Health Recommender systems - LBER - Sentiment Analysis - automatic actigraphy pattern analysis - biomedical data problems - cancer - metobolic models - speech recognintion techniques