Machine Learning Models for Predicting Radiation Dermatitis in Breast Cancer: A Scoping Review.
This review underscores the importance of further investigation into multiomic biomarkers and the establishment of minimum nursing databases to support predictive model development for radiation dermatitis in breast cancer patients.
Authors
- Maria Aparecida Ferreira Domingos (ORCID: https://orcid.org/0000-0002-6112-5902)
- Rebeca Maria Alves de Castro (ORCID: https://orcid.org/0009-0008-6918-940X)
- Judith Sixsmith (ORCID: https://orcid.org/0000-0002-3290-1343)
- Ana Fátima Carvalho Fernandes (ORCID: https://orcid.org/0000-0001-5110-6364)
- Pedro Luís Saraiva Barbosa (ORCID: https://orcid.org/0000-0001-5091-9005)
- Abilio Torres Dos Santos Neto (ORCID: https://orcid.org/0000-0003-3875-3561)
- Gilmara Holanda da Cunha
- Jayana Castelo Branco Cavalcante de Meneses
Institutions
- University of Dundee (GB)
- Universidade Federal do Ceará (BR)
- Instituto Federal de Educação, Ciência e Tecnologia do Ceará (BR)
Publication Details
- Journal
- PubMed
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1097/cin.0000000000001484
- Primary Topic
- Effects of Radiation Exposure
- Type
- article
- Field-Weighted Citation Impact
- 0.00