Cargando…
An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission: Development and validation study
BACKGROUND: In a pandemic situation (e.g., COVID-19), the most important issue is to select patients at risk of high mortality at an early stage and to provide appropriate treatments. However, a few studies applied the model to predict in-hospital mortality using routine blood samples at the time of...
Autores principales: | Lin, Ju-Kuo, Chien, Tsair-Wei, Wang, Lin-Yen, Chou, Willy |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284724/ https://www.ncbi.nlm.nih.gov/pubmed/34260529 http://dx.doi.org/10.1097/MD.0000000000026532 |
Ejemplares similares
-
Vaccination associated with gross domestic product and fewer deaths in countries and regions: A verification study
por: Wang, Lin-Yen, et al.
Publicado: (2022) -
Comparison of prediction accuracies between mathematical models to make projections of confirmed cases during the COVID-19 pandamic by country/region
por: Tsai, Kang-Ting, et al.
Publicado: (2021) -
Thematic maps with scatter and 4-quadrant plots in R to identity dominant entities on schizophrenia in psychiatry since 2017: Bibliometric analysis
por: Jang, Fong-Lin, et al.
Publicado: (2023) -
Using the Alluvial diagram to display variable characteristics for COVID-19 patients and research achievements on the topic of COVID-19, epidemiology, pathogenesis, and vaccine (CEPV): Bibliometric analysis
por: Yen, Po-Tsung, et al.
Publicado: (2023) -
Analyzing fulminant myocarditis research trends and characteristics using the follower-leading clustering algorithm (FLCA): A bibliometric study
por: Yen, Pei-Chun, et al.
Publicado: (2023)