Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer: A Scoping Review.

Key Points

• The review aims to explore the development of predictive models for radiation dermatitis using various biomarkers and databases.
• Conducted a scoping review of existing literature on machine learning models and radiation dermatitis.
• Focused on multiomic biomarkers and minimum nursing databases relevant to breast cancer patients.
• Analyzed the current state of predictive model development in relation to nursing care.
• Identified gaps in research regarding the use of multiomic biomarkers in predictive modeling.
• Highlighted the need for standardized nursing databases to facilitate model development.
• Found a lack of consensus on effective machine learning approaches for predicting radiation dermatitis.