Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Efficacy Analysis in Clinical Trials an Update - Efficacy Analysis in an Era of Machine Learning (Hardcover, 1st ed. 2019)
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Efficacy Analysis in Clinical Trials an Update - Efficacy Analysis in an Era of Machine Learning (Hardcover, 1st ed. 2019)
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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
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