Cargando…
Development of a Risk Prediction Model for New Episodes of Atrial Fibrillation in Medical-Surgical Critically Ill Patients Using the AmsterdamUMCdb
The occurrence of atrial fibrillation (AF) represents clinical deterioration in acutely unwell patients and leads to increased morbidity and mortality. Prediction of the development of AF allows early intervention. Using the AmsterdamUMCdb, clinically relevant variables from patients admitted in sin...
Autores principales: | Ortega-Martorell, Sandra, Pieroni, Mark, Johnston, Brian W., Olier, Ivan, Welters, Ingeborg D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135978/ https://www.ncbi.nlm.nih.gov/pubmed/35647039 http://dx.doi.org/10.3389/fcvm.2022.897709 |
Ejemplares similares
-
Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementation
por: Edinburgh, Tom, et al.
Publicado: (2022) -
Explainable Machine Learning on AmsterdamUMCdb for ICU Discharge Decision Support: Uniting Intensivists and Data Scientists
por: Thoral, Patrick J., et al.
Publicado: (2021) -
Sepsis-induced coagulopathy is associated with new episodes of atrial fibrillation in patients admitted to critical care in sinus rhythm
por: Ortega-Martorell, Sandra, et al.
Publicado: (2023) -
Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*
por: Thoral, Patrick J., et al.
Publicado: (2021) -
In-Hospital Mortality of Sepsis Differs Depending on the Origin of Infection: An Investigation of Predisposing Factors
por: Pieroni, Mark, et al.
Publicado: (2022)