Machine Learning Approach to Predict Positive Screening of Methicillin-Resistant Staphylococcus aureus During Mechanical Ventilation Using Synthetic Dataset From MIMIC-IV Database

Machine Learning Approach to Predict Positive Screening of Methicillin-Resistant Staphylococcus aureus During Mechanical Ventilation Using Synthetic Dataset From MIMIC-IV Database

Background: Mechanically ventilated patients are susceptible to nosocomial infections such as ventilator-associated pneumonia. To treat ventilated patients with suspected infection, clinicians select appropriate antibiotics. However, decision-making regarding the use of antibiotics for methicillin-r...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yohei Hirano, Keito Shinmoto, Yohei Okada, Kazuhiro Suga, Jeffrey Bombard, Shogo Murahata, Manoj Shrestha, Patrick Ocheja, Aiko Tanaka
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
Materias:
prediction
machine learning
mechanical ventilation
Methicillin-Resistant Staphylococcus aureus—MRSA
outcome
Medicine (General)
R5-920
Acceso en línea:https://doaj.org/article/98c4d1d586b148859b63baa43b559719
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Ejemplares similares