Early biochemical analysis of COVID-19 patients helps severity prediction

COVID-19 pandemic has put the protocols and the capacity of our Hospitals to the test. The management of severe patients admitted to the Intensive Care Units has been a challenge for all health systems. To assist in this challenge, various models have been proposed to predict mortality and severity,...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PloS one 2023-05, Vol.18 (5), p.e0283469-e0283469
Hauptverfasser:	Roncancio-Clavijo, Andrés, Gorostidi-Aicua, Miriam, Alberro, Ainhoa, Iribarren-Lopez, Andrea, Butler, Ray, Lopez, Raúl, Iribarren, Jose Antonio, Clemente, Diego, Marimon, Jose María, Basterrechea, Javier, Martinez, Bruno, Prada, Alvaro, Otaegui, David
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Age groups Algorithms Analysis and chemistry Artificial Intelligence Biochemical analysis Biology and Life Sciences Blood Coronaviruses Cost analysis COVID-19 Feature selection Granulocytes Health aspects Health risks Hospital patients Hospitalization Hospitals Humans Intensive care Intensive care units Leukocytes (granulocytic) Lymphocytes Medical examination Medical research Medicine and Health Sciences Medicine, Experimental Mortality Pandemics Parameter identification Patients Physical Sciences Prediction models Prognosis Research and Analysis Methods Retrospective Studies ROC Curve Severe acute respiratory syndrome coronavirus 2 Variables Variance analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!