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Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data
When clinicians assess the prognosis of patients in intensive care, they take imaging and non-imaging data into account. In contrast, many traditional machine learning models rely on only one of these modalities, limiting their potential in medical applications. This work proposes and evaluates a tr...
| 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/PMC10314902/ https://www.ncbi.nlm.nih.gov/pubmed/37393383 http://dx.doi.org/10.1038/s41598-023-37835-1 |