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Updated: Jun 3, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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不同机器学习算法在预测产后护理利用率方面的性能评估和比较分析:来自2016年埃塞俄比亚人口和健康调查的证据

Daniel Niguse Mamo1, Agmasie Damtew Walle2, Eden Ketema Woldekidan1

  • 1Department of Health Informatics, School of Public Health, College of Medicine and Health Sciences, Arbaminch University, Arbaminch, Ethiopia.

PLOS digital health
|January 9, 2025
PubMed
概括

机器学习模型有效地预测了埃塞俄比亚的产后护理利用率. 地区和教育等关键因素显著地影响了获取,指导了针对母亲和新生儿的有针对性的健康倡议.

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