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Editorial
. 2018 Dec 31;15(12):e1002721.
doi: 10.1371/journal.pmed.1002721. eCollection 2018 Dec.

Better medicine through machine learning: What's real, and what's artificial?

Affiliations
Editorial

Better medicine through machine learning: What's real, and what's artificial?

Suchi Saria et al. PLoS Med. .

Abstract

Machine Learning Special Issue Guest Editors Suchi Saria, Atul Butte, and Aziz Sheikh cut through the hyperbole with an accessible and accurate portrayal of the forefront of machine learning in clinical translation.

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Conflict of interest statement

We have read the journal's policy and the authors of this manuscript have the following competing interests: SS has grants from Gordon and Betty Moore Foundation, the National Science Foundation, the Defense Advanced Research Projects Agency (DARPA), and the American Heart Association. She is the scientific founder and/or advisory board member for Bayesian Health and PatientPing. Bayesian Health develops real-time decision-making software for health systems. PatientPing offers software for real-time notifications about patient admission and discharge transfer status. She has received honoraria for talks from a number of biotechnology, research, and healthtech companies. She has no direct ties to the companies mentioned in this Editorial. AB is a scientific founder and/or advisory board member for NuMedii and Personalis. He has received honoraria for talks, has consulted, and has corporate relationships with a number of biotechnology, research, healthcare, and financial companies, and some of his students have founded biotechnology and healthcare companies. He has no direct ties to the companies mentioned in this Editorial. AS has relevant research grants from Chief Scientist’s Office of the Scottish Government, Department of Health, Farr Institute, Health Data Research UK, National Institute of Health Research, and NHS England, and he chairs the World Innovation Summit for Health (WISH) Forum on Data Science and Artificial Intelligence. SS, AB, and AS served as Guest Editors on PLOS Medicine’s Special Issue on Machine Learning in Health and Biomedicine.

References

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