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Assessing the utility of a sliding-windows deep neural network approach for risk prediction of trauma patients
The risks of post trauma complications are regulated by the injury, comorbidities, and the clinical trajectories, yet prediction models are often limited to single time-point data. We hypothesize that deep learning prediction models can be used for risk prediction using additive data after trauma us...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063587/ https://www.ncbi.nlm.nih.gov/pubmed/36997598 http://dx.doi.org/10.1038/s41598-023-32453-3 |