Unraveling the Dynamic Trajectories and Predictive Determinants of Fear of Cancer Recurrence in Breast Cancer Survivors: A Prospective Cohort Study - PubMed
2 days ago
- #breast cancer
- #machine learning
- #fear of recurrence
- The study explores fear of cancer recurrence (FCR) trajectories in breast cancer survivors.
- Three distinct FCR trajectories identified: persistently low (47.85%), increasing (32.28%), and decreasing (19.87%).
- Random Forest (RF) model showed the highest predictive accuracy with ROC AUC of 0.901 and PR AUC of 0.854.
- Key predictors include demographic, socioeconomic, clinical, and psychosocial factors.
- The study highlights the importance of early identification of high-risk factors for improving patient outcomes.
- Limitations include measuring FCR at only six time points and the need for longer-term studies.
- Future research should focus on evidence-based interventions for managing FCR.