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

Published in Computer Methods in Applied Mechanics and Engineering, 2019

Recommended citation: Francisco Sahli, Kristen Matsuno, Jiang Yao, Paris Perdikaris, Ellen Kuhl, "Machine learning in drug development: Characterizing the effect of 30 drugs on the qt interval using gaussian process regression, sensitivity analysis, and uncertainty quantification." Computer Methods in Applied Mechanics and Engineering, 2019. https://www.sciencedirect.com/science/article/pii/S0045782519300581