Cargando…
Machine Learning Predicts Prolonged Acute Hypoxemic Respiratory Failure in Pediatric Severe Influenza
Influenza virus is a major cause of acute hypoxemic respiratory failure. Early identification of patients who will suffer severe complications can help stratify patients for clinical trials and plan for resource use in case of pandemic. OBJECTIVE: We aimed to identify which clinical variables best p...
Autores principales: | Sauthier, Michaël S., Jouvet, Philippe A., Newhams,, Margaret M., Randolph, Adrienne G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7417145/ https://www.ncbi.nlm.nih.gov/pubmed/32832912 http://dx.doi.org/10.1097/CCE.0000000000000175 |
Ejemplares similares
-
Estimated Pao(2): A Continuous and Noninvasive Method to Estimate Pao(2) and Oxygenation Index
por: Sauthier, Michaël, et al.
Publicado: (2021) -
Matrix protein 1: A comparative in silico study on different strains of influenza A H5N1 Virus
por: Anwar, Tamanna, et al.
Publicado: (2006) -
Classification of anti hepatitis peptides using Support Vector Machine with hybrid Ant Colony OptimizationThe Luxembourg database of trichothecene type B F. graminearum and F. culmorum producers
por: Mishra, Gunjan, et al.
Publicado: (2016) -
Simplified Pediatric Index of Mortality 3 Score by Explainable Machine Learning Algorithm
por: Baloglu, Orkun, et al.
Publicado: (2021) -
Predicting Future Care Requirements Using Machine Learning for Pediatric Intensive and Routine Care Inpatients
por: Trujillo Rivera, Eduardo A., et al.
Publicado: (2021)