Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system
Abstract Timely and effective clinical decision-making for COVID-19 requires rapid identification of risk factors for disease outcomes. Our objective was to identify characteristics available immediately upon first clinical evaluation related COVID-19 mortality. We conducted a retrospective study of...
Guardado en:
Autores principales: | Elza Rechtman, Paul Curtin, Esmeralda Navarro, Sharon Nirenberg, Megan K. Horton |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/913b829d991644c5bc84f6e1d6c34b4f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data
por: Jiarui Feng, et al.
Publicado: (2021) -
A vital sign-based prediction algorithm for differentiating COVID-19 versus seasonal influenza in hospitalized patients
por: Naveena Yanamala, et al.
Publicado: (2021) -
Changes in Vital Signs and Laboratory Tests in Patients with Odontogenic Infections Requiring Hospitalization
por: Pavan,Eduardo P, et al.
Publicado: (2020) -
#CDCGrandRounds and #VitalSigns: A Twitter Analysis
por: Ashley M. Jackson, et al.
Publicado: (2018) -
Adaptative vital signs monitoring system based on the early warning score approach in smart hospital context
por: Imen Ben Ida, et al.
Publicado: (2021)