Additional file 1 of Interpretable machine learning model for predicting 5-Year postoperative recurrence risk in patients with stage III colon cancer using preoperative laboratory tests: a two-centre study

Figshare 2026 Dataset Open access

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Authors: Hangping Wei, Xihao Fu, Yuanyuan Cheng, Li Xu, Xinkai Wu, ZhenXin Wang
DOI: 10.6084/m9.figshare.31199340
Cited by: 0

Abstract

Supplementary Material 1. Table S1: Results of Multiple Imputation for Features with Missing Data. Table S2. Univariate Analysis of Clinical and Pathological Features and Laboratory Tests in the Training Set (P-values ≥ 0.05). Table S3. The result of the random forest with five-fold cross-validation.

Fields of Study & Subjects

Colorectal Cancer Surgical Treatments Inflammatory Biomarkers in Disease Prognosis Artificial Intelligence in Healthcare

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset