Log in to save to my catalogue

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...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3141788120

A machine learning-based risk score for prediction of mechanical ventilation in children with dengue shock syndrome: A retrospective cohort study

About this item

Full title

A machine learning-based risk score for prediction of mechanical ventilation in children with dengue shock syndrome: A retrospective cohort study

Publisher

United States: Public Library of Science

Journal title

PloS one, 2024-12, Vol.19 (12), p.e0315281

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

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.
This...

Alternative Titles

Full title

A machine learning-based risk score for prediction of mechanical ventilation in children with dengue shock syndrome: A retrospective cohort study

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3141788120

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3141788120

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0315281

How to access this item