Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification-Reference-Cited by-同舟云学术

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:2019-05 Issue: Volume:348 Page:313-333
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Sahli Costabal Francisco,Matsuno Kristen,Yao Jiang,Perdikaris Paris,Kuhl Ellen

Funder

Stanford School of Engineering Fellowship

Becas Chile-Fulbright

Stanford Bio-X

National Institutes of Health

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

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