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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...
Autores principales: | Chen, Qi, Tang, Bihan, Song, Jiaqi, Jiang, Ying, Zhao, Xinxin, Ruan, Yiming, Zhao, Fangjie, Wu, Guosheng, Chen, Tao, He, Jia |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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