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Efficacy Analysis in Clinical Trials an Update : Efficacy Analysis in an Era of Machine Learning by Ton J. Cleophas, Aeilko H. Zwinderman is a nonfiction available to read on EtoBox.

What is Efficacy Analysis in Clinical Trials an Update : Efficacy Analysis in an Era of Machine Learning about?

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 intensive methods are required. This is the first publication of clinical trials that have been systematically analyzed with machine learning. In addition, all of the machine learning analyses were tested against traditional analyses. Step by step statistics for self-assessments are included. The authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do.

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

Author

Ton J. Cleophas, Aeilko H. Zwinderman

Publisher

Springer International Publishing : Imprint: Springer

Published

2019

Language

EN

ISBN

9783030199203

Category

nonfiction

Subjects

Medical, Science, Biology