Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for...
Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality
About this item
Full title
Author / Creator
Mendoza-Hernandez, Martha A , Hernandez-Fuentes, Gustavo A , Sanchez-Ramirez, Carmen A , Rojas-Larios, Fabian , Guzman-Esquivel, Jose , Rodriguez-Sanchez, Iram P , Martinez-Fierro, Margarita L , Cardenas-Rojas, Martha I , De-Leon-Zaragoza, Luis , Trujillo-Hernandez, Benjamin , Fuentes-Murguia, Mercedes , Ochoa-Díaz-López, Héctor , Sánchez-Meza, Karmina and Delgado-Enciso, Ivan
Publisher
England: Spandidos Publications
Journal title
Language
English
Formats
Publication information
Publisher
England: Spandidos Publications
Subjects
More information
Scope and Contents
Contents
Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive...
Alternative Titles
Full title
Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality
Authors, Artists and Contributors
Author / Creator
Hernandez-Fuentes, Gustavo A
Sanchez-Ramirez, Carmen A
Rojas-Larios, Fabian
Guzman-Esquivel, Jose
Rodriguez-Sanchez, Iram P
Martinez-Fierro, Margarita L
Cardenas-Rojas, Martha I
De-Leon-Zaragoza, Luis
Trujillo-Hernandez, Benjamin
Fuentes-Murguia, Mercedes
Ochoa-Díaz-López, Héctor
Sánchez-Meza, Karmina
Delgado-Enciso, Ivan
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11099607
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_11099607
Other Identifiers
ISSN
2049-9434
E-ISSN
2049-9442
DOI
10.3892/br.2024.1788