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Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
Although anaesthesiologists strive to avoid hypoxemia during surgery, reliably predicting future intraoperative hypoxemia is not currently possible. Here, we report the development and testing of a machine-learning-based system that, in real time during general anaesthesia, predicts the risk of hypo...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6467492/ https://www.ncbi.nlm.nih.gov/pubmed/31001455 http://dx.doi.org/10.1038/s41551-018-0304-0 |