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用加利福尼亚州出生证明信息来分类孕产妇吸烟的预测模型

Di He1, Xiwen Huang1, Onyebuchi A Arah1

  • 1Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, California, USA.

Paediatric and perinatal epidemiology
|November 15, 2023
PubMed
概括

这项研究开发了一个模型,使用出生证明数据预测母亲吸烟,达到81%的准确率. 虽然它对出生登记有用,但在准确分类吸烟状态方面仍然存在局限性.

关键词:
出生证明出生证明出生证明母亲怀孕 吸烟 吸烟新生儿血斑 在新生儿血斑预测模型 预测模型烟草中的生物标志物

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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