Using machine learning tools to predict outcomes for emergency department intensive care unit patien...
Using machine learning tools to predict outcomes for emergency department intensive care unit patients
About this item
Full title
Author / Creator
Zhai, Qiangrong , Lin, Zi , Ge, Hongxia , Liang, Yang , Li, Nan , Ma, Qingbian and Ye, Chuyang
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
The number of critically ill patients has increased globally along with the rise in emergency visits. Mortality prediction for critical patients is vital for emergency care, which affects the distribution of emergency resources. Traditional scoring systems are designed for all emergency patients using a classic mathematical method, but risk factors...
Alternative Titles
Full title
Using machine learning tools to predict outcomes for emergency department intensive care unit patients
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7708467
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7708467
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-77548-3
