Cargando…
Using patient biomarker time series to determine mortality risk in hospitalised COVID-19 patients: A comparative analysis across two New York hospitals
A large range of prognostic models for determining the risk of COVID-19 patient mortality exist, but these typically restrict the set of biomarkers considered to measurements available at patient admission. Additionally, many of these models are trained and tested on patient cohorts from a single ho...
Autores principales: | Lambert, Ben, Stopard, Isaac J., Momeni-Boroujeni, Amir, Mendoza, Rachelle, Zuretti, Alejandro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387798/ https://www.ncbi.nlm.nih.gov/pubmed/35981055 http://dx.doi.org/10.1371/journal.pone.0272442 |
Ejemplares similares
-
A Dynamic Bayesian Model for Identifying High-Mortality Risk in Hospitalized COVID-19 Patients
por: Momeni-Boroujeni, Amir, et al.
Publicado: (2021) -
Estimating the extrinsic incubation period of malaria using a mechanistic model of sporogony
por: Stopard, Isaac J., et al.
Publicado: (2021) -
Effects of 8 weeks of military training on lower extremity and lower back clinical findings of young Iranian male recruits: A prospective case series
por: Boroujeni, Amir Momeni, et al.
Publicado: (2014) -
Seasonal mortality trends for hospitalised patients with acute kidney injury across England
por: Wong, Esther, et al.
Publicado: (2023) -
Characterising the long-term clinical outcomes of 1190 hospitalised patients with COVID-19 in New York City: a retrospective case series
por: Shoucri, Sherif M, et al.
Publicado: (2021)