An Artificial Intelligence Approach to Bloodstream Infections Prediction

This study aimed to develop an early prediction model for identifying patients with bloodstream infections. The data resource was taken from 2015 to 2019 at Taichung Veterans General Hospital, and a total of 1647 bloodstream infection episodes and 3552 non-bloodstream infection episodes in the inten...

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Detalles Bibliográficos
Autores principales: Pai, Kai-Chih, Wang, Min-Shian, Chen, Yun-Feng, Tseng, Chien-Hao, Liu, Po-Yu, Chen, Lun-Chi, Sheu, Ruey-Kai, Wu, Chieh-Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268222/
https://www.ncbi.nlm.nih.gov/pubmed/34209759
http://dx.doi.org/10.3390/jcm10132901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268222/
https://www.ncbi.nlm.nih.gov/pubmed/34209759
http://dx.doi.org/10.3390/jcm10132901

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