Classification of Breast Cancer on the Strength of Potential Risk Factors with Boosting Models: A Public Health Informatics Application

Aim:The diagnosis of breast cancer can be accomplished using an algorithm or an early detection model of breast cancer risk via determining factors. In the present study, gradient boosting machines (GBM), extreme gradient boosting (XGBoost) and light gradient boosting (LightGBM) models were applied...

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Bibliografische gegevens

Hoofdauteurs:	Sami Akbulut, Ipek Balikci Cicek, Cemil Colak
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Haseki Training and Research Hospital 2022-06-01
Reeks:	Haseki Tıp Bülteni
Onderwerpen:	breast cancer boosting algorithm gradient boosting algorithm xgboost algorithm lightgbm algorithm
Online toegang:	http://www.hasekidergisi.com/archives/archive-detail/article-preview/classification-of-breast-cancer-on-the-strength-of/52214
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