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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Detalles Bibliográficos
Autores principales: Goh, Vivian, Chou, Yu-Jung, Lee, Ching-Chi, Ma, Mi-Chia, Wang, William Yu Chung, Lin, Chih-Hao, Hsieh, Chih-Chia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600599/
https://www.ncbi.nlm.nih.gov/pubmed/36292187
http://dx.doi.org/10.3390/diagnostics12102498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600599/
https://www.ncbi.nlm.nih.gov/pubmed/36292187
http://dx.doi.org/10.3390/diagnostics12102498

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