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Development and interpretability of an XGBoost model to predict high grade cervical intraepithelial neoplasia
Hong Tao1, Zhengjiao Tong2, Hongtao Li1
1Department of Medicine Statistics, Hunan Hoomya Gene Technology Co., Ltd., Changsha, 410205, China.
BMC Medical Informatics and Decision Making
|February 25, 2026
Abstract
No abstract available in PubMed .
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