Better medicine through machine learning: What's real, and what's artificial?
Suchi Saria1, Atul Butte2,3, Aziz Sheikh4
1Machine Learning and Healthcare Laboratory, Departments of Computer Science, Statistics, and Health Policy, Malone Center for Engineering in Healthcare, and Armstrong Institute for Patient Safety and Quality, Johns Hopkins University, Baltimore, Maryland, United States of America.
Plos Medicine
|January 1, 2019
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.

