Efficacy Analysis in Clinical Trials an Update
Efficacy Analysis in an Era of Machine Learning
Buch in deiner Nähe kaufen
Beschreibung
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.
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
It shows, for the first time, that machine learning methodologies can be used for assessing efficacy data of controlled clinical trials It confirms, that machine learning methodologies provide better sensitivity of testing It confirms, that machine learning methodologies are more informative
Autor*in
Ton J. Cleophas
Themen in »Efficacy Analysis in Clinical Trials an Update«
Clinical trials Traditional efficacy analysis Machine learning for efficacy analysis Data mining Big data validation