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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis.

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第一作者： Xiaoyan,Sun

第一单位： Obstetrics and Gynecology, Jinan Maternity and Child Care Hospital, Jinan, 250000, Shandong, China. drsxy0302@163.com.

作者： Xiaoyan,Sun ^[1]

作者单位： Obstetrics and Gynecology, Jinan Maternity and Child Care Hospital, Jinan, 250000, Shandong, China. drsxy0302@163.com. ^[1]

关键词 Breast cancer diagnosis Data mining Hybrid integration Light gradient boosting machine (LightGBM)Whale optimization algorithm (WOA)

医学主题词女(雌)性(Female);人类(Humans);乳腺肿瘤(Breast Neoplasms);数据挖掘(Data Mining)

DOI 10.1038/s41598-025-86014-x

PMID 39833229

发布时间 2025-06-12

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2025年15卷1期

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Scientific reports

2025年15卷1期

2569页

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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis.

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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis.

Scientific reports

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Scientific reports

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