Efficacy Analysis in Clinical Trials an Update - Efficacy Analysis in an Era of Machine Learning (Hardcover, 1st ed. 2019)

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

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	September 2019
First published:	2019
Authors:	Ton J. Cleophas • Aeilko H. Zwinderman
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	304
Edition:	1st ed. 2019
ISBN-13:	978-3-03-019917-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Medicine > General issues > Medical equipment & techniques > Medical research Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-019917-7
Barcode:	9783030199173

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!