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Artificial intelligence prediction model for readmission after DIEP flap breast reconstruction based on NSQIP data
8
Zitationen
4
Autoren
2025
Jahr
Abstract
This stacked machine learning approach demonstrates strong predictive capability for post-DIEP flap readmissions, with high sensitivity for identifying at-risk patients. The model's performance suggests clinical utility in preoperative risk stratification and resource allocation. Implementation could enable targeted intervention strategies to potentially reduce readmission rates in high-risk populations.
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