Predicting the risk of colorectal cancer among diabetes patients using a random survival forest-guided approach.

ABSTRACT:

Background

Colorectal cancer (CRC) is the third most frequently diagnosed cancer worldwide. Diabetes and CRC share many overlapping lifestyle risk factors such as obesity, heavy alcohol use, and diet. This study aims to develop a risk scoring system for CRC prediction among diabetes patients using routine medical records.

Methods

A retrospective cohort study was conducted using electronic health records of Hong Kong. Patients who received diabetes care in public general outpatient clinics between 2010 and 2019 and had no cancer history were identified, and followed up until December 2019. The outcome was diagnosis of CRC during follow-up. For model building, predictors were first selected using random survival forest, and weights were subsequently assigned to selected predic

SUBMITTER: Yau STY 

PROVIDER: S-EPMC11471444 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature