Machine learning-guided prevention and management of low anterior resection syndrome: Development of an XGBoost prediction model and validation via SHAP
Objective: Colorectal cancer is among the top three cancers in terms of incidence and mortality worldwide. Although laparoscopic and robotic-assisted sphincter-preserving surgeries reduce permanent colostomy rates to under 20%, 60%–80% of patients develop postoperative low anterior resection syndrom...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
KeAi Communications Co., Ltd.
2025-12-01
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| Серія: | Laparoscopic, Endoscopic and Robotic Surgery |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2468900925000659 |
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