A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis

Breast cancer is a common and potentially life-threatening disease. Early and accurate diagnosis of breast cancer is crucial for effective treatment and improved patient outcomes. This study proposed using the Light Gradient-Boosting Machine (LightGBM) algorithm, Borderline- Synthetic Minority Overs...

Celý popis

Podrobná bibliografia

Vydané v:	Healthcare analytics (New York, N.Y.) Ročník 4; s. 100218
Hlavní autori:	Omotehinwa, Temidayo Oluwatosin, Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.12.2023 Elsevier
Predmet:	Borderline-SMOTE Breast cancer Health Systems Science Hyperparameter tuning Light Gradient-Boosting Machine Machine learning Public Health Tree-Structured Parzen Estimator Tree-Structured Parzen Estimator Breast cancer Borderline-SMOTE Light Gradient-Boosting Machine Machine learning Hyperparameter tuning
ISSN:	2772-4425, 2772-4425
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!