Using Machine Learning to Predict Invasive Bacterial Infections in Young Febrile Infants Visiting the Emergency Department

Background: The aim of this study was to develop and evaluate a machine learning (ML) model to predict invasive bacterial infections (IBIs) in young febrile infants visiting the emergency department (ED). Methods: This retrospective study was conducted in the EDs of three medical centers across Taiw...

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Detalles Bibliográficos
Autores principales: Chiu, I-Min, Cheng, Chi-Yung, Zeng, Wun-Huei, Huang, Ying-Hsien, Lin, Chun-Hung Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123681/
https://www.ncbi.nlm.nih.gov/pubmed/33925973
http://dx.doi.org/10.3390/jcm10091875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123681/
https://www.ncbi.nlm.nih.gov/pubmed/33925973
http://dx.doi.org/10.3390/jcm10091875

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