Development and validation of machine learning models for predicting cancer-related fatigue in lymphoma survivors.

The study presents a machine learning-based CRF prediction model for lymphoma patients, offering dynamic, data-driven assessments that could enhance the development of automated CRF screening tools for personalized management in clinical practice.