Early machine learning prediction of hospitalized patients at low risk of respiratory deterioration or mortality in community-acquired pneumonia: Derivation and validation of a multivariable model

Early machine learning prediction of hospitalized patients at low risk of respiratory deterioration or mortality in community-acquired pneumonia: Derivation and validation of a multivariable model

Current prognostic tools for pneumonia predominantly focus on mortality, often neglecting other crucial outcomes such as the need for advanced respiratory support. The objective of this study was to develop and validate a tool that predicts the early risk of non-occurrence of respiratory deteriorat...

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Bibliographic Details
Main Authors: Yewande E. Odeyemi, Amos Lal, Erin F. Barreto, Allison M. LeMahieu, Hemang Yadav, Ognjen Gajic, Phillip Schulte
Format: Article
Language:English
Published: Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina 2024-03-01
Series:Biomolecules & Biomedicine
Subjects:
Community-acquired pneumonia (CAP)
machine learning
predictive modeling
advanced respiratory support
mortality
Online Access:https://www.bjbms.org/ojs/index.php/bjbms/article/view/9754

Internet

https://www.bjbms.org/ojs/index.php/bjbms/article/view/9754

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