Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach
Summary
Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach is a scholarly article[1].
Key Facts
Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-thyroid-cancer-recurrence-using-supervised-catboost-a-shap-based-explainable-ai-approach
MLA“Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-thyroid-cancer-recurrence-using-supervised-catboost-a-shap-based-explainable-ai-approach.
BibTeX@misc{4ortxyz_predicting-thyroid-cancer-recurrence-using-supervised-catboost-a-shap-based-explainable-ai-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-thyroid-cancer-recurrence-using-supervised-catboost-a-shap-based-explainable-ai-approach}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting thyroid cancer recurrence using supervised CatBoost: A SHAP-based explainable AI approach — https://4ort.xyz/entity/predicting-thyroid-cancer-recurrence-using-supervised-catboost-a-shap-based-explainable-ai-approach (retrieved 2026-05-24)
