Estimating indoor galaxolide concentrations using predictive models based on objective assessments and data about dwelling characteristics.

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作者： Shreosi,Sanyal ^[1] ; Fouad,Amrani ^[1] ; Arnaud,Dallongeville ^[2] ; Soutrik,Banerjee ^[3] ; Oliver,Blanchard ^[4] ; Séverine,Deguen ^[1] ; Nathalie,Costet ^[2] ; Denis,Zmirou-Navier ^[3] ; Isabella,Annesi-Maesano ^[2]

作者单位： a Medical School Saint-Antoine, Université Pierre et Marie Curie, Sorbonne Université and INSERM , Paris , France. ^[1] b EHESP School of Public Health , Rennes , France. ^[2] c Inserm UMR1085-IRSET , Rennes , France. ^[3] d French Environment and Energy Management Agency , Angers , France. ^[4] e Université de Rennes 1 , Rennes , France. ^[5] f Lorraine University Medical School , Vandoeuvre-lès-Nancy , France. ^[6]

关键词 Galaxolide building characteristics data mining indoor air machine learning predictive model supervised learning

主题词空气污染, 室内(Air Pollution, Indoor);苯吡喃类(Benzopyrans);横断面研究(Cross-Sectional Studies);预测(Forecasting);法国(France);人类(Humans);线性模型(Linear Models);模型, 理论(Models, Theoretical);香料(Perfume)

DOI 10.1080/08958378.2018.1432729

PMID 29458305

发布时间 2019-01-24

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Inhalation toxicology

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Estimating indoor galaxolide concentrations using predictive models based on objective assessments and data about dwelling characteristics.

Inhalation toxicology

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Estimating indoor galaxolide concentrations using predictive models based on objective assessments and data about dwelling characteristics.

Inhalation toxicology

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Inhalation toxicology

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