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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.

Original publication

DOI

10.1371/journal.pmed.1002721

Type

Journal article

Journal

PLoS medicine

Publication Date

12/2018

Volume

15

Addresses

Machine 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.

Keywords

Humans, Diagnosis, Computer-Assisted, Medicine, Artificial Intelligence, Machine Learning