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

We developed a robust machine learning-based risk score to estimate the need for MV in hospitalized children with DSS.

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Publication Details

Journal
PLoS ONE
Published
2024-12-06
DOI
https://doi.org/10.1371/journal.pone.0315281
Citations
14
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
5.41
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article

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

Luan Thanh Vo, Trinh Huu Tung, Đỗ Châu Việt, Thanh Tat Nguyen et al.
14 citations
PLoS ONE
Sepsis Diagnosis and Treatment
5.41
article

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

Luan Thanh Vo, Trinh Huu Tung, Đỗ Châu Việt, Thanh Tat Nguyen, Thien Vu
article en
14 citations

Abstract

We developed a robust machine learning-based risk score to estimate the need for MV in hospitalized children with DSS.

PLoS ONEVol. 19(12)
National Institute of Biomedical Innovation, Health and Nutrition (JP), Children's Hospital 2 (VN)
Good health and well-being
Openalex Percentile: Top 3%
Sepsis Diagnosis and Treatment
5.41
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