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.

ABSTRACT:

Background

Colorectal cancer (CRC) is one of the most prevalent malignant diseases worldwide and displays significant heterogeneity. The aim of this study was to investigate the application of machine learning algorithms to incorporate preoperative laboratory tests for predicting the 5-year recurrence risk in patients with stage III colon cancer (CC) postsurgery.

Methods

This study included two patient cohorts: the Zhejiang Cancer Hospital CC cohort (ZCC set, n = 290), which served as the training cohort, and the Dongyang CC cohort (DYC set, n = 125), which was utilized as an external testing cohort. Univariate analysis was initially performed on the 48 preoperative laboratory tests and 15 clinical and pathological features within the training cohort to pinpoint potential pr

SUBMITTER: Wei H 

PROVIDER: S-EPMC12857113 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature