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SHAP-based interpretable machine learning with longitudinal delta-radiomics across seven weeks of treatment for xerostomia prediction in head-and-neck cancer

Crossref DOI link: https://doi.org/10.1186/s13014-026-02846-5

Published Online: 2026-04-23

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Samson, Damilola Oluwafemi

Ismail, Mahayu

Hanifa, Mohd Ariff Mohamed

Mahidin, Eznal Izwadi Mohd

Manan, Hanani Abdul

Yahya, Noorazrul
Funding

Funding for this research was provided by:

Premier Impact Fund 2.0 (DIP-2024-032)
License Information

Text and Data Mining valid from 2026-04-23

Accepted Manuscript valid from 2026-04-23
More Information

Article History

Received: 23 October 2025

Accepted: 19 April 2026

First Online: 23 April 2026

Declarations

:

: These studies involving human participants were reviewed and approved by the Universiti Kebangsaan Malaysia Research Ethics Committee (approval number: UKM PPI/111/8/JEP-2023-817). Patients were exempted from giving informed consent after approval.

: Not applicable.

: The authors declare no competing interests.

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