Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy
Abstract Background Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pancreaticoduodenectomy (LPD) is a critical complication that significantly worsens patient outcomes. However, the heterogeneity of its risk factors and the clinical utility of predictive models...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
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| Series: | BMC Surgery |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12893-025-02935-4 |
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