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Updated: May 24, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

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

Published on: January 11, 2020

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应用随机森林算法来预测27个撒哈拉以南非洲国家的熟练分娩率,并确定27个撒哈拉以南非洲国家的生育年龄妇女的决定因素;机器学习分析分析

Eliyas Addisu Taye1, Eden Yitbarek Woubet2, Gabrela Yimer Hailie3

  • 1Department of Health Informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia. eliyasaddisu12@gmail.com.

BMC public health
|March 6, 2025
PubMed
概括

机器学习准确地预测了撒哈拉以南非洲的熟练分娩率. 关键因素包括设施提供,孕产妇教育和财富,指导减少孕产妇死亡率的干预措施.

关键词:
机器学习 机器学习预测 预测 预测这就是 SHAP SHAP 的意思.熟练的分娩服务员参加了分娩.撒哈拉以南非洲地区.

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