Predicting Bacteremia among Septic Patients Based on ED Information by Machine Learning Methods: A Comparative Study

Predicting Bacteremia among Septic Patients Based on ED Information by Machine Learning Methods: A Comparative Study

Introduction: Bacteremia is a common but life-threatening infectious disease. However, a well-defined rule to assess patient risk of bacteremia and the urgency of blood culture is lacking. The aim of this study is to establish a predictive model for bacteremia in septic patients using available big...

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Bibliographic Details
Main Authors: Vivian Goh, Yu-Jung Chou, Ching-Chi Lee, Mi-Chia Ma, William Yu Chung Wang, Chih-Hao Lin, Chih-Chia Hsieh
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Diagnostics
Subjects:
bacteremia
blood culture
machine learning
logistic regression
net reclassification index
Online Access:https://www.mdpi.com/2075-4418/12/10/2498

Internet

https://www.mdpi.com/2075-4418/12/10/2498

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