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Updated: May 13, 2025

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
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预测儿童营养不良的机器学习:对人口和健康调查数据的元分析

Bhagyajyothi Rao1, Muhammad Rashid2,3, Md Gulzarull Hasan1

  • 1Department of Applied Statistics & Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal 576104, India.

International journal of environmental research and public health
|April 16, 2025
PubMed
概括

机器学习模型在使用人口和健康调查数据预测儿童营养不良方面表现有前途. 这些人工智能工具在识别五岁以下的有风险儿童方面提供了中等到良好的性能.

关键词:
儿童营养不良 儿童营养不良人口和健康调查 (DHS)机器学习是机器学习.营养不良 营养不良 营养不良进行元分析分析.公共卫生公共卫生.发育不良 发育不良 缩 发育不良

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