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Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance
Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early prediction of AKI could prompt preventive measures, but is challenging in the clinical routine. One important reason is that the amount of postoperative data is too massive and too high-dimensional to be effectivel...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588492/ https://www.ncbi.nlm.nih.gov/pubmed/33134556 http://dx.doi.org/10.1038/s41746-020-00346-8 |