Predicting ventilator-associated pneumonia with machine learning

Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive care units (ICUs). Existing methods for identifying VAP display low accuracy, and their use may delay antimicrobial therapy. VAP diagnostics derived from machine learning (ML) methods that utilize el...

Descripción completa

Detalles Bibliográficos
Autores principales: Giang, Christine, Calvert, Jacob, Rahmani, Keyvan, Barnes, Gina, Siefkas, Anna, Green-Saxena, Abigail, Hoffman, Jana, Mao, Qingqing, Das, Ritankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
6700
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202554/
https://www.ncbi.nlm.nih.gov/pubmed/34115013
http://dx.doi.org/10.1097/MD.0000000000026246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202554/
https://www.ncbi.nlm.nih.gov/pubmed/34115013
http://dx.doi.org/10.1097/MD.0000000000026246

Ejemplares similares