Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory fitness derived from cardiopulmonary exercise testing.
Accurate preoperative risk assessment is of great value to both patients and clinical teams. Several risk scores have been developed but are often not calibrated to the local institution, limited in terms of data input into the underlying models, and/or lack individual precision. Machine Learning (M...
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| Glavni autori: | , , , , , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science (PLoS)
2025-05-01
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| Serija: | PLOS Digital Health |
| Online pristup: | https://doi.org/10.1371/journal.pdig.0000851 |
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