Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees
<jats:p> Background: We have previously shown that the machine learning methodology of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery (CHS). We have now applied this methodology to define benchmarking standards after CHS, permitting case-adjusted...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publications,
2022-07-27T18:25:43Z.
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| Subjects: | |
| Online Access: | Get fulltext |