Nature

Competing risk and random survival forest models for predicting survival in post-resection elderly stage I–III colorectal cancer patients

Elderly patients with colorectal cancer (CRC) face an elevated risk of cardiovascular and cerebrovascular death (CVD), yet few studies have explicitly addressed CVD as a competing risk event.
Nature

Comparison of oblique random survival forest, random survival forest, and statistical models for time-to-event data using simulation study

Time-to-event (TTE) machine learning (ML) algorithms are increasingly utilized in prognostic models, but systematic evaluation is lacking to identify their strengths and limitations. We compared TTE ...
ascopubs.org

Risk Stratification Using Tree-Based Models for Recurrence-Free Survival in Breast Cancer

Randomized Trial of Fixed-Dose Capecitabine Compared With Standard-Dose Capecitabine in Metastatic Breast Cancer: X-7/7 Trial Data were obtained from the Northwell Health cancer registry for patients ...
ascopubs.org

Risk Stratification Using Tree-Based Models for Recurrence-Free Survival in Breast Cancer

Randomized Trial of Fixed-Dose Capecitabine Compared With Standard-Dose Capecitabine in Metastatic Breast Cancer: X-7/7 Trial An accurate risk model is critical for risk-stratified cancer care and ...