Hematological Versus Clinical Predictors of Tumor Grade in Endometrial Cancer: A Comparative Machine Learning Study with SHAP-Based Explainability

Esra Akaydın Gültürk, Şerife Özlem Genç

Open source

DOI
10.3390/diagnostics16182987
Published
2026-09-15
Container
Diagnostics
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/diagnostics16182987,
  title = {Hematological Versus Clinical Predictors of Tumor Grade in Endometrial Cancer: A Comparative Machine Learning Study with SHAP-Based Explainability},
  author = {Esra Akaydın Gültürk and Şerife Özlem Genç},
  year = {2026},
  journal = {Diagnostics},
  doi = {10.3390/diagnostics16182987},
  url = {https://doi.org/10.3390/diagnostics16182987}
}

RIS

TY  - JOUR
TI  - Hematological Versus Clinical Predictors of Tumor Grade in Endometrial Cancer: A Comparative Machine Learning Study with SHAP-Based Explainability
AU  - Esra Akaydın Gültürk
AU  - Şerife Özlem Genç
PY  - 2026
JO  - Diagnostics
DO  - 10.3390/diagnostics16182987
UR  - https://doi.org/10.3390/diagnostics16182987
ER  - 

APA

Gültürk, E. A., & Genç, Ş. Ö. (2026). Hematological Versus Clinical Predictors of Tumor Grade in Endometrial Cancer: A Comparative Machine Learning Study with SHAP-Based Explainability. Diagnostics. https://doi.org/10.3390/diagnostics16182987

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