Predicting in-hospital death in pneumonic COPD exacerbation via BAP-65, CURB-65 and machine learning.

Akihiro Shiroshita Yuya Kimura Hiroshi Shiba Chigusa ShirakawaKenya SatoShinya MatsushitaKeisuke TomiiYuki Kataoka

Published in: ERJ open research (2022)

BAP-65, CURB-65 and XGBoost showed low predictive performance for in-hospital death in pneumonic COPD exacerbation. Further large-scale studies including more variables are warranted.

Keyphrases

chronic obstructive pulmonary disease
machine learning
lung function
healthcare
acute care
adverse drug
artificial intelligence
big data
cystic fibrosis
air pollution
mechanical ventilation