Cargando…
Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity
IMPORTANCE: Undertriaging patients who are at increased risk for postoperative complications after surgical procedures to low-acuity hospital wards (ie, floors) rather than highly vigilant intensive care units (ICUs) may be associated with risk of unrecognized decompensation and worse patient outcom...
Autores principales: | Loftus, Tyler J., Ruppert, Matthew M., Ozrazgat-Baslanti, Tezcan, Balch, Jeremy A., Efron, Philip A., Tighe, Patrick J., Hogan, William R., Rashidi, Parisa, Upchurch, Gilbert R., Bihorac, Azra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581722/ https://www.ncbi.nlm.nih.gov/pubmed/34757412 http://dx.doi.org/10.1001/jamanetworkopen.2021.31669 |
Ejemplares similares
-
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks
por: Shickel, Benjamin, et al.
Publicado: (2023) -
Building an automated, machine learning-enabled platform for predicting post-operative complications
por: Balch, Jeremy A, et al.
Publicado: (2023) -
Uncertainty-aware deep learning in healthcare: A scoping review
por: Loftus, Tyler J., et al.
Publicado: (2022) -
Predictive Modeling for Readmission to Intensive Care: A Systematic Review
por: Ruppert, Matthew M., et al.
Publicado: (2023) -
Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review
por: Balch, Jeremy A, et al.
Publicado: (2023)