Machine Learning in Medicine Part Three /

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

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Cleophas, Ton J. (Auteur), Zwinderman, Aeilko H. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
Édition:1st ed. 2013.
Sujets:
Medicine-Research.
Biology-Research.
Medical sciences.
Statistics .
Image processing-Digital techniques.
Computer vision.
Biomedical Research.
Health Sciences.
Statistics.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Accès en ligne:Texto Completo
Table des matières:
  • Preface
  • Introduction to Machine Learning Part Three.- Evolutionary Operations.- Multiple Treatments
  • Multiple Endpoints
  • Optimal Binning
  • Exact P-Values
  • Probit Regression
  • Over - dispersion.10 Random Effects
  • Weighted Least Squares
  • Multiple Response Sets
  • Complex Samples
  • Runs Tests.- Decision Trees
  • Spectral Plots
  • Newton's Methods
  • Stochastic Processes, Stationary Markov Chains
  • Stochastic Processes, Absorbing Markov Chains
  • Conjoint Models
  • Machine Learning and Unsolved Questions
  • Index.

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