Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data

BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available electronic health record (EHR) data capable of recognizing infant sepsis at least 4 h...

Descripción completa

Detalles Bibliográficos
Autores principales: Masino, Aaron J., Harris, Mary Catherine, Forsyth, Daniel, Ostapenko, Svetlana, Srinivasan, Lakshmi, Bonafide, Christopher P., Balamuth, Fran, Schmatz, Melissa, Grundmeier, Robert W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386402/
https://www.ncbi.nlm.nih.gov/pubmed/30794638
http://dx.doi.org/10.1371/journal.pone.0212665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386402/
https://www.ncbi.nlm.nih.gov/pubmed/30794638
http://dx.doi.org/10.1371/journal.pone.0212665

Ejemplares similares