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Efficacy Analysis in Clinical Trials an Update
Efficacy Analysis in an Era of Machine Learning
Ton J Cleophas, Aeilko H Zwinderman
Livre broché | Anglais
73,95 €
+ 147 points
Format
Description
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
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 304
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9783030199203
- Date de parution :
- 25-09-20
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 155 mm x 235 mm
- Poids :
- 575 g
