Generating high-fidelity synthetic patient data for assessing machine learning healthcare software

Abstract There is a growing demand for the uptake of modern artificial intelligence technologies within healthcare systems. Many of these technologies exploit historical patient health data to build powerful predictive models that can be used to improve diagnosis and understanding of disease. Howeve...

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Bibliographic Details
Main Authors: Allan Tucker, Zhenchen Wang, Ylenia Rotalinti, Puja Myles
Format: article
Language:EN
Published: Nature Portfolio 2020
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Online Access:https://doaj.org/article/393faecb6a464df29677635072a0df65
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