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Updated: Sep 16, 2025

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

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探索可解释的机器学习算法,以模拟2018年至2023年间撒哈拉以南非洲男性烟草使用的预测因素

Mequannent Sharew Melaku1, Nebebe Demis Baykemagn2, Lamrot Yohannes3

  • 1Department of Health Informatics, Institute of Public Health, University of Gondar, Gondar, Ethiopia. Mequannent.sharew@uog.edu.et.

Scientific reports
|July 9, 2025
PubMed
概括

机器学习确定了撒哈拉以南非洲男性烟草使用的关键预测因素. 年龄,教育和财富是重要因素,为戒烟提供了有针对性的公共卫生干预信息.

关键词:
有关决定因素的决定因素预测 预测 预测无烟烟草 没有烟的烟草撒哈拉以南非洲地区.烟草 吸烟 吸烟 烟草 吸烟

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