Transferability and interpretability of the sepsis prediction models in the intensive care unit

BACKGROUND: We aimed to develop an early warning system for real-time sepsis prediction in the ICU by machine learning methods, with tools for interpretative analysis of the predictions. In particular, we focus on the deployment of the system in a target medical center with small historical samples....

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Qiyu, Li, Ranran, Lin, ChihChe, Lai, Chiming, Chen, Dechang, Qu, Hongping, Huang, Yaling, Lu, Wenlian, Tang, Yaoqing, Li, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798724/
https://www.ncbi.nlm.nih.gov/pubmed/36581881
http://dx.doi.org/10.1186/s12911-022-02090-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798724/
https://www.ncbi.nlm.nih.gov/pubmed/36581881
http://dx.doi.org/10.1186/s12911-022-02090-3

Ejemplares similares