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. |
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| 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 |
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