Predicting unfavorable response to initial radioactive iodine therapy in differentiated thyroid cancer: an explainable machine learning and survival analysis approach.
- DOI
- 10.3389/fendo.2026.1943597
- Published
- 2026
- Container
- Frontiers in endocrinology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fendo.2026.1943597,
title = {Predicting unfavorable response to initial radioactive iodine therapy in differentiated thyroid cancer: an explainable machine learning and survival analysis approach.},
author = {Gu L and Zheng G and Zhao Y and Wang J and Qu L and Yao S},
year = {2026},
journal = {Frontiers in endocrinology},
doi = {10.3389/fendo.2026.1943597},
url = {https://doi.org/10.3389/fendo.2026.1943597}
}RIS
TY - JOUR TI - Predicting unfavorable response to initial radioactive iodine therapy in differentiated thyroid cancer: an explainable machine learning and survival analysis approach. AU - Gu L AU - Zheng G AU - Zhao Y AU - Wang J AU - Qu L AU - Yao S PY - 2026 JO - Frontiers in endocrinology DO - 10.3389/fendo.2026.1943597 UR - https://doi.org/10.3389/fendo.2026.1943597 ER -
APA
L, G., G, Z., Y, Z., J, W., L, Q., & S, Y. (2026). Predicting unfavorable response to initial radioactive iodine therapy in differentiated thyroid cancer: an explainable machine learning and survival analysis approach.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1943597
Source records
- pubmed · retrieved 2026-09-25T11:50:35.400Z