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Machine learning prediction models for prognosis of critically ill patients after open-heart surgery
We aimed to build up multiple machine learning models to predict 30-days mortality, and 3 complications including septic shock, thrombocytopenia, and liver dysfunction after open-heart surgery. Patients who underwent coronary artery bypass surgery, aortic valve replacement, or other heart-related su...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7873187/ https://ncbi.nlm.nih.gov/pubmed/33564090 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-83020-7 |
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