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Updated: Jun 6, 2025

Generation of Electronic Cigarette Aerosol by a Third-Generation Machine-Vaping Device: Application to Toxicological Studies
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功能选择和机器学习方法用于预测美国当前电子烟使用情况. 2022 年的成年人

Wei Fang1, Ying Liu2, Chun Xu3

  • 1West Virginia Clinical and Translational Science Institute, Morgantown, WV 26506, USA.

International journal of environmental research and public health
|November 27, 2024
PubMed
概括

机器学习准确地预测了美国成年人当前使用电子烟的情况. 关键预测因素包括年龄,教育,吸烟状况和对危害的信念,指导未来的公共卫生研究.

关键词:
在 PHQ4 课程中,他们的信仰,他们的信仰.过度饮酒过度饮酒过度饮酒过度饮酒使用电子烟使用电子烟.功能选择 功能选择机器学习是机器学习.

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