Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification

Title
Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification
Authors
Keywords
Machine learning, Gaussian process regression, Sensitivity analysis, Uncertainty quantification, Finite element analysis, Drug development
Journal
Publisher
Elsevier BV
Online
2019-02-02
DOI
10.1016/j.cma.2019.01.033

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