Return
Prediction Pathway for Severe Asthma Exacerbations
DOI:10.1016/j.chest.2025.04.046.png)
Abstract
En 中文
Accurate risk prediction of exacerbations is pivotal in severe asthma management. Multiple risk factors are at play, but the pathway of risk prediction remains unclear.
Keywords:
asthma
Bayesian network
causal prediction
influence diagram
model validation
risk prediction
severe exacerbation
AUC
area under the receiver operating characteristic curve
BEC
blood eosinophil count
BN
Bayesian network
CRS
chronic rhinosinusitis
ER
emergency room
Feno
eno
fractional exhaled nitric oxide
GINA
Global Initiative for Asthma
ISAR
International Severe Asthma Registry
ML
machine learning
NP
nasal polyp
OCS
oral corticosteroid
Journal
IF:
8.6
Papers:
4.9W
Citations:
5.1W
Organization
R



