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Updated: Jul 13, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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机器学习算法用于预测利比里亚妇女家庭暴力脆弱性的比较研究

Riaz Rahman1, Md Nafiul Alam Khan2, Sabiha Shirin Sara1

  • 1Statistic discipline, Khulna University, Khulna, 9208, Bangladesh.

BMC women's health
|October 17, 2023
PubMed
概括

机器学习模型准确地预测利比里亚妇女的家庭暴力脆弱性. 关键的风险因素包括以前的情绪暴力经历,为有针对性的预防策略提供信息.

关键词:
在 CatBoost 中使用 CatBoost.美国国土安全部 (DHS)决策树 决策树是一个决策树.家庭暴力 家庭暴力K-NNN 在线观看机器学习技术是一种机器学习技术.预测; 利比里亚在XGBoost上使用.

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