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Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgery
Complications after surgery have a major impact on short- and long-term outcomes, and decades of technological advancement have not yet led to the eradication of their risk. The accurate prediction of complications, recently enhanced by the development of machine learning algorithms, has the potenti...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520164/ https://www.ncbi.nlm.nih.gov/pubmed/36840764 http://dx.doi.org/10.1007/s00595-023-02662-4 |