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

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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Bibliographic Details
Main Authors: I-Min Chiu, Chi-Yung Cheng, Wun-Huei Zeng, Ying-Hsien Huang, Chun-Hung Richard Lin
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Journal of Clinical Medicine
Subjects:
machine learning
invasive bacterial infection
young infant fever
emergency department
Online Access:https://www.mdpi.com/2077-0383/10/9/1875

Internet

https://www.mdpi.com/2077-0383/10/9/1875

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