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 c...

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Detalles Bibliográficos
Autores principales: Shiroshita, Akihiro, Kimura, Yuya, Shiba, Hiroshi, Shirakawa, Chigusa, Sato, Kenya, Matsushita, Shinya, Tomii, Keisuke, Kataoka, Yuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784888/
https://www.ncbi.nlm.nih.gov/pubmed/35083319
http://dx.doi.org/10.1183/23120541.00452-2021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8784888/
https://www.ncbi.nlm.nih.gov/pubmed/35083319
http://dx.doi.org/10.1183/23120541.00452-2021

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