Development of an artificial intelligence bacteremia prediction model and evaluation of its impact on physician predictions focusing on uncertainty

Prediction of bacteremia is a clinically important but challenging task. An artificial intelligence (AI) model has the potential to facilitate early bacteremia prediction, aiding emergency department (ED) physicians in making timely decisions and reducing unnecessary medical costs. In this study, we...

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Detalles Bibliográficos
Autores principales: Choi, Dong Hyun, Lim, Min Hyuk, Kim, Ki Hong, Shin, Sang Do, Hong, Ki Jeong, Kim, Sungwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439897/
https://www.ncbi.nlm.nih.gov/pubmed/37598221
http://dx.doi.org/10.1038/s41598-023-40708-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439897/
https://www.ncbi.nlm.nih.gov/pubmed/37598221
http://dx.doi.org/10.1038/s41598-023-40708-2

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