Integrating explainable artificial intelligence and light gradient boosting machine for glioma grading

Background: Glioma grading plays a pivotal role in neuro-oncology, directly influencing treatment strategies and patient prognoses. Despite its importance, traditional histopathological analysis has drawbacks, spurring interest in applying machine learning (ML) techniques to improve accuracy and rel...

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Hlavní autoři:	Teuku Rizky Noviandy, Ghalieb Mutig Idroes, Irsan Hardi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	KeAi Communications Co., Ltd. 2025-03-01
Edice:	Informatics and Health
Témata:	LightGBM SHAP XAI Model Interpretability Machine Learning Classification
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2949953424000262
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!