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Updated: Jun 25, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

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一个由三个基于决策树的算法组成的多分辨率组合模型,用于预测法国每日NO2度2005-2022

Guillaume Barbalat1, Ian Hough2, Michael Dorman3

  • 1University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Development and Respiratory Health, Institute for Advanced Biosciences (IAB), Grenoble, France; Centre Ressource de Réhabilitation Psychosociale et de Remédiation Cognitive, Hôpital Le Vinatier, Pôle Centre Rive Gauche, UMR, 5229, CNRS & Université Claude Bernard Lyon 1, France.

Environmental research
|May 29, 2024
PubMed
概括

我们开发了一种新模型,以高分辨率绘制法国各地每日二氧化 (NO2) 污染的地图. 这个工具提供了准确的暴露数据来研究NO2对健康的影响.

关键词:
在200米分辨率的200米分辨率.每天的预测 每天的预测决策树 决策树 是一个决定树.二氧化是二氧化的一种物质.时间空间阻塞.时间空间建模.

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