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Updated: Jan 16, 2026

Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography
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Determining Gender-Based Differences in Retinal and Choroidal Thickness in Underweight Individuals via Swept-Source Optical Coherence Tomography

Published on: December 1, 2023

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对顺序逻辑回归和机器学习模型进行比较研究,用于预测孟加拉国的妇女营养不良:来自BDHS 2022年的证据

Umme Kulsum1, Ahsanul Haque1, Pallab Barai1

  • 1Department of Statistics and Data Science, University of Barishal, Barishal, 8254, Bangladesh.

Journal of health, population, and nutrition
|January 15, 2026
PubMed
概括

机器学习模型在预测孟加拉妇女营养不良方面明显优于传统方法. 这些先进的技术为针对营养不良和营养过剩的有针对性的公共卫生干预提供了更高的准确性.

关键词:
孟加拉国 孟加拉国 孟加拉国机器学习是机器学习.营养不良 营养不良顺序逻辑回归的顺序逻辑回归.

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