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使用机器学习算法预测和选择低出生体重的特征.

Tasneem Binte Reza1, Nahid Salma2

  • 1Department of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.

Journal of health, population, and nutrition
|October 12, 2024
PubMed
概括

包装方法和随机森林 (RF) 机器学习模型有效预测低出生体重 (LBW). 识别关键的风险因素,如母亲的年龄和双胞胎的出生,可以帮助减少LBW的流行.

关键词:
博鲁塔的算法 博鲁塔的算法主要特征 关键功能 关键特征低出生体重 低出生体重机器学习算法 机器学习算法包装方法 包装方法

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