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Development of machine learning-based predictive models for seroma formation after transabdominal preperitoneal inguinal hernia repair

Abstract Background Inguinal hernia repair, particularly transabdominal preperitoneal (TAPP) repair, is a common surgical procedure. However, seroma formation remains a frequent postoperative complication, impacting patient recovery and increasing healthcare burden. Accurate prediction of seroma for...

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Principais autores: Yibo Zhai, Yi Zhao, Chang Chen, Wenzhong Bao, Dawei Tang
פורמט: Artigo
שפה:Inglês
יצא לאור: BMC 2026-03-01
סדרה:BMC Surgery
נושאים:
Machine Learning
XGBoost
Seroma Formation
Transabdominal Preperitioneal Repair
גישה מקוונת:https://doi.org/10.1186/s12893-026-03555-2
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