Efficacy Analysis in Clinical Trials an Update : Efficacy Analysis in an Era of Machine Learning

Efficacy Analysis in Clinical Trials an Update Efficacy Analysis in an Era of Machine Learning

Machine learning and big data is hot. It is, however, virtually unused in clinical trials. This is so, because randomization is applied to even out multiple variables. Modern medical computer files often involve hundreds of variables like genes and other laboratory values, and computationally intens...

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Detalles Bibliográficos
Autor principal: Cleophas, Ton J. (-)
Autor Corporativo: SpringerLink (-)
Otros Autores: Zwinderman, Aeilko H.
Formato: Libro electrónico
Idioma:Inglés
Publicado: Cham : Springer International Publishing 2019.
Edición:1st ed
Colección:Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b39887510*spi
Tabla de Contenidos:
  • Preface
  • Traditional and Machine-Learning Methods for Efficacy Analysis
  • Optimal-Scaling for Efficacy Analysis
  • Ratio-Statistic for Efficacy Analysis
  • Ratio-Statistic for Efficacy Analysis
  • Complex-Samples for Efficacy Analysis
  • Bayesian-Networks for Efficacy Analysis
  • Evolutionary-Operations for Efficacy Analysis
  • Automatic-Newton-Modeling for Efficacy Analysis
  • High-Risk-Bins for Efficacy Analysis
  • Balanced-Iterative-Reducing-Hierarchy for Efficacy Analysis
  • Cluster-Analysis for Efficacy Analysis
  • Multidimensional-Scaling for Efficacy Analysis
  • Binary Decision-Trees for Efficacy Analysis
  • Continuous Decision-Trees for Efficacy Analysis
  • Automatic-Data-Mining for Efficacy Analysis
  • Support-Vector-Machines for Efficacy Analysis
  • Neural-Networks for Efficacy Analysis
  • Ensembled-Accuracies for Efficacy Analysis
  • Ensembled-Correlations for Efficacy Analysis
  • Gamma-Distributions for Efficacy Analysis
  • Validation with Big Data, a Big Issue
  • Index.

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