Machine Learning in Medicine Part Two /

• Κύριοι συγγραφείς: Cleophas, Ton J. (Συγγραφέας), Zwinderman, Aeilko H. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
• Θέματα: Medicine.; Computer graphics.; Entomology.; Literacy.; Statistics.; Biomedicine.; Biomedicine general.; Medicine/Public Health, general.; Statistics, general.; Computer Imaging, Vision, Pattern Recognition and Graphics.

Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first volume reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares,...

Πίνακας περιεχομένων:

• Introduction to Machine Learning Part Two
• Two-stage Least Squares
• Multiple Imputations
• Bhattacharya Analysis
• Quality-of-life (QOL) Assessments with Odds Ratios
• Logistic Regression for Assessing Novel Diagnostic Tests against Control
• Validating Surrogate Endpoints
• Two-dimensional Clustering
• Multidimensional Clustering
• Anomaly Detection
• Association Rule Analysis
• Multidimensional Scaling
• Correspondence Analysis
• Multivariate Analysis of Time Series
• Support Vector Machines
• Bayesian Networks
• Protein and DNA Sequence Mining
• Continuous Sequential Techniques
• Discrete Wavelet Analysis
• Machine Learning and Common Sense
• Statistical Tables
• Index.