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

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

Introduction There is no established clinical prediction model for in-hospital death among patients with pneumonic COPD exacerbation. We aimed to externally validate BAP-65 and CURB-65 and to develop a new model based on the eXtreme Gradient Boosting (XGBoost) algorithm. Methods This multicentre coh...

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Bibliographic Details
Main Authors: Akihiro Shiroshita, Yuya Kimura, Hiroshi Shiba, Chigusa Shirakawa, Kenya Sato, Shinya Matsushita, Keisuke Tomii, Yuki Kataoka
Format: Article
Language:English
Published: European Respiratory Society 2022-01-01
Series:ERJ Open Research
Online Access:http://openres.ersjournals.com/content/8/1/00452-2021.full

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http://openres.ersjournals.com/content/8/1/00452-2021.full

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