Dynamic Bayesian network for predicting physiological changes, organ dysfunctions and mortality risk in critical trauma patients

BACKGROUND: Critical trauma patients are particularly prone to increased mortality risk; hence, an accurate prediction of their conditions enables early identification of patients' mortality status. Thus, we aimed to develop and validate a real-time prediction model for physiological changes, o...

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Detalles Bibliográficos
Autores principales: Chen, Qi, Tang, Bihan, Song, Jiaqi, Jiang, Ying, Zhao, Xinxin, Ruan, Yiming, Zhao, Fangjie, Wu, Guosheng, Chen, Tao, He, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063308/
https://www.ncbi.nlm.nih.gov/pubmed/35505328
http://dx.doi.org/10.1186/s12911-022-01803-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063308/
https://www.ncbi.nlm.nih.gov/pubmed/35505328
http://dx.doi.org/10.1186/s12911-022-01803-y

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