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Response to "Towards reliable feature interpretation in machine learning-based acute diarrhoea toxicity assessment"

Ying Zhang1, Charles-Antoine Collins Fekete1, Maria A Hawkins2

  • 1Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London WC1E 6BT, United Kingdom.

Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|September 16, 2025
PubMed
Summary

No abstract available in PubMed .

Keywords:
Machine learningPredictive modelRadiotherapyRectal cancer

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