Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease
C Wang, X Chen, L Du, Q Zhan, T Yang… - Computer methods and …, 2020 - Elsevier
Objectives Identifying acute exacerbations in chronic obstructive pulmonary disease
(AECOPDs) is of utmost importance for reducing the associated mortality and financial …
(AECOPDs) is of utmost importance for reducing the associated mortality and financial …
Procalcitonin (PCT) Improves the Accuracy and Sensitivity of Dyspnea, Eosinopenia, Consolidation, Acidemia and Atrial Fibrillation (DECAF) Score in Predicting …
Y Chen, LQ Li, LG Yan, XY Hu, Q Zhang… - Clinical …, 2020 - search.ebscohost.com
Abstract Background: The score of Dyspnea, Eosinopenia, Consolidation, Acidemia and
Atrial Fibrillation (DECAF) can be used to predict the in-hospital mortality of patients with …
Atrial Fibrillation (DECAF) can be used to predict the in-hospital mortality of patients with …
A Joint Ensemble Framework for the Detection of Acute Exacerbations in Chronic Obstructive Pulmonary Disease
X Wang, Y Zhang, Y Cui, H Ren, Y Qiao, C Hao, L Qiu - 2023 - researchsquare.com
Objective The purpose of this study was to create a joint ensemble framework for identifying
AECOPD and providing a plausible explanation of model predictions. Methods From MIMIC …
AECOPD and providing a plausible explanation of model predictions. Methods From MIMIC …
D-Dimer and Procalcitonin Improve the Sensitivity of BAP-65 Score in Predicting AECOPD Patients Admission to ICU.
Q Zhang, JX Liu, JS Bai, JM Wang, AS Fu… - Clinical …, 2023 - search.ebscohost.com
Background: The study aimed at investigating the effectiveness of the BAP-65 score
combined with D-dimer and procalcitonin (PCT) in predicting admission of acute …
combined with D-dimer and procalcitonin (PCT) in predicting admission of acute …