Interpretable LightGBM model with SHAP analysis predicts non‐excellent response to initial radioiodine therapy in differentiated thyroid carcinoma

The developed LightGBM framework precisely predicts primary <sup>1</sup> <sup>3</sup> <sup>1</sup>I therapeutic efficacy in DTC patients, with SHAP-driven elucidation of clinical risk factor contributions enabling personalized therapeutic paradigms.Future integration of multicenter prospective data and molecular biomarkers is required to enhance model generalizability.

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Publication Details

Journal
Journal of Applied Clinical Medical Physics
Published
2026-03-27
DOI
https://doi.org/10.1002/acm2.70555
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Interpretable LightGBM model with SHAP analysis predicts non‐excellent response to initial radioiodine therapy in differentiated thyroid carcinoma

Qing Zhang, Yangyang Lei, Zhaoxia Luo
Journal of Applied Clinical Medical Physics
Thyroid Cancer Diagnosis and Treatment
article

Interpretable LightGBM model with SHAP analysis predicts non‐excellent response to initial radioiodine therapy in differentiated thyroid carcinoma

Qing Zhang, Yangyang Lei, Zhaoxia Luo
article en

Abstract

The developed LightGBM framework precisely predicts primary <sup>1</sup> <sup>3</sup> <sup>1</sup>I therapeutic efficacy in DTC patients, with SHAP-driven elucidation of clinical risk factor contributions enabling personalized therapeutic paradigms.Future integration of multicenter prospective data and molecular biomarkers is required to enhance model generalizability.

Journal of Applied Clinical Medical PhysicsVol. 27(4)
Nanchang University (CN), First Affiliated Hospital of Jiangxi Medical College (CN), First Affiliated Hospital of Nanchang University (CN)
Openalex Percentile: Top 6%
Thyroid Cancer Diagnosis and Treatment
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