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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Yibo Zhai, Yi Zhao, Chang Chen, Wenzhong Bao, Dawei Tang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	BMC 2026-03-01
Цуврал:	BMC Surgery
Нөхцлүүд:	Machine Learning XGBoost Seroma Formation Transabdominal Preperitioneal Repair
Онлайн хандалт:	https://doi.org/10.1186/s12893-026-03555-2
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!