A machine learning-based risk score for prediction of mechanical ventilation in children with dengue...
A machine learning-based risk score for prediction of mechanical ventilation in children with dengue shock syndrome: A retrospective cohort study
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Patients with severe dengue who develop severe respiratory failure requiring mechanical ventilation (MV) support have significantly increased mortality rates. This study aimed to develop a robust machine learning-based risk score to predict the need for MV in children with dengue shock syndrome (DSS) who developed acute respiratory failure.
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Full title
A machine learning-based risk score for prediction of mechanical ventilation in children with dengue shock syndrome: A retrospective cohort study
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TN_cdi_plos_journals_3141788120
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3141788120
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0315281