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Machine learning model for predicting a high comprehensive complication index following rectal cancer surgery.

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Title: Machine learning model for predicting a high comprehensive complication index following rectal cancer surgery.
Authors: Wang Z; Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China., Huang L; Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China., He L; Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China., Li S; Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China., Peng S; Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China., Gong Y; Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China., Mu D; Department of Clinical Research, The First Hospital of Jilin University, Changchun, 130021, China., Wang Q; Department of Gastrocolorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, 130021, China. wquan@jlu.edu.cn.
Source: Updates in surgery [Updates Surg] 2026 Aug; Vol. 78 (4), pp. 1503-1514. Date of Electronic Publication: 2025 Sep 22.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Italia Country of Publication: Italy NLM ID: 101539818 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2038-3312 (Electronic) Linking ISSN: 2038131X NLM ISO Abbreviation: Updates Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2038-3312
DOI:10.1007/s13304-025-02401-z