环境化学和社会压力源的累积风险和影响建模。
Cumulative Risk and Impact Modeling on Environmental Chemical and Social Stressors.
机构信息
Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco, CA, USA.
Institute for Computational Health Sciences, University of California, San Francisco, CA, USA.
出版信息
Curr Environ Health Rep. 2018 Mar;5(1):88-99. doi: 10.1007/s40572-018-0180-5.
Abstract
PURPOSE OF REVIEW
The goal of this review is to identify cumulative modeling methods used to evaluate combined effects of exposures to environmental chemicals and social stressors. The specific review question is: What are the existing quantitative methods used to examine the cumulative impacts of exposures to environmental chemical and social stressors on health?
RECENT FINDINGS
There has been an increase in literature that evaluates combined effects of exposures to environmental chemicals and social stressors on health using regression models; very few studies applied other data mining and machine learning techniques to this problem. The majority of studies we identified used regression models to evaluate combined effects of multiple environmental and social stressors. With proper study design and appropriate modeling assumptions, additional data mining methods may be useful to examine combined effects of environmental and social stressors.
摘要
目的综述
本综述的目的是确定用于评估环境化学物质暴露和社会压力源综合影响的累积建模方法。具体的综述问题是：现有的定量方法有哪些用于研究环境化学物质和社会压力源暴露对健康的累积影响？
最近的发现
越来越多的文献使用回归模型评估环境化学物质暴露和社会压力源对健康的综合影响；很少有研究将其他数据挖掘和机器学习技术应用于这一问题。我们确定的大多数研究使用回归模型来评估多种环境和社会压力源的综合影响。通过适当的研究设计和适当的建模假设，其他数据挖掘方法可能有助于研究环境和社会压力源的综合影响。
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