Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study
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Title
Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study
Authors
Keywords
Cardiac arrest, Intensive care units, Machine learning, Algorithms, Machine learning algorithms, Artificial neural networks, Forecasting, Support vector machines
Journal
PLOS MEDICINE
Volume 15, Issue 11, Pages e1002709
Publisher
Public Library of Science (PLoS)
Online
2018-12-01
DOI
10.1371/journal.pmed.1002709
References
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