Adapting machine learning models to temporal drift: oral mucositis prediction in head and neck cancer patients receiving proton and carbon ion therapy
Temporal drift significantly reduced oral mucositis prediction accuracy over time. Transfer-learning ensembles improved adaptability and maintained reliable, clinically relevant performance for particle-therapy toxicity prediction.
Authors
- Renli Ning
- Yiqiao Wang (ORCID: https://orcid.org/0000-0002-7746-7050)
- Zhang Zhihong
- Hongwei Wan
- Yu Zhu
- Lijuan Zhang
- Ziying Wang
Institutions
- Fudan University Shanghai Cancer Center (CN)
- Columbia University (US)
Publication Details
- Journal
- Journal of the American Medical Informatics Association
- Published
- 2026-02-03
- DOI
- https://doi.org/10.1093/jamia/ocag025
- Primary Topic
- Oral health in cancer treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00