Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records

Title
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records
Authors
Keywords
Machine learning, Critical care and emergency medicine, Hospitals, Forecasting, Laboratory tests, Socioeconomic aspects of health, Statistical models, Electronic medical records
Journal
PLOS MEDICINE
Volume 15, Issue 11, Pages e1002695
Publisher
Public Library of Science (PLoS)
Online
2018-11-21
DOI
10.1371/journal.pmed.1002695

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