Clinical characteristics of hospitalized children with community-acquired pneumonia and respiratory infections: Using machine learning approaches to support pathogen prediction at admission

Clinical characteristics of hospitalized children with community-acquired pneumonia and respiratory infections: Using machine learning approaches to support pathogen prediction at admission

Background: Acute respiratory infections (ARIs) are common in children. We developed machine learning models to predict pediatric ARI pathogens at admission. Methods: We included hospitalized children with respiratory infections between 2010 and 2018. Clinical features were collected within 24 h of...

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Bibliographic Details
Main Authors: Tu-Hsuan Chang, Yun-Chung Liu, Siang-Rong Lin, Pei-Hsin Chiu, Chia-Ching Chou, Luan-Yin Chang, Fei-Pei Lai
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Journal of Microbiology, Immunology and Infection
Subjects:
Machine learning
Children
Respiratory infections
Pathogens prediction
Community-acquired pneumonia
Online Access:http://www.sciencedirect.com/science/article/pii/S1684118223000890

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http://www.sciencedirect.com/science/article/pii/S1684118223000890

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