Evidence map›Paper›PMID 31078000›Full record

ArticleEnvironment international2019

Cluster-based bagging of constrained mixed-effects models for high spatiotemporal resolution nitrogen oxides prediction over large regions.

Lianfa Li, Mariam Girguis, Frederick Lurmann, Jun Wu, Robert Urman, Edward Rappaport, Beate Ritz, Meredith Franklin, Carrie Breton, Frank Gilliland and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environment international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Ensemble-based deep learning for estimating PMEnvironment international · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lianfa LiDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA; State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources, Chinese Academy of Sciences, Beijing, China. Electronic address: lianfali@usc.edu.
Mariam GirguisDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Frederick LurmannSonoma Technology, Inc., Petaluma, CA, USA.
Jun WuProgram in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA, USA.
Robert UrmanDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Edward RappaportDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Beate RitzDepartments of Epidemiology and Environmental Health, Fileding School of Public Health, University of California, Los Angeles, CA, USA.
Meredith FranklinDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Carrie BretonDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Frank GillilandDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.
Rima HabreDepartment of Preventive Medicine, University of Southern California, Los Angeles, CA, USA.

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 1996 to 2026
$46.4M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory Health (LA DREAMERs)UH3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M, BRETON, CARRIE VAN DOREN · 2018 to 2022
$28.4M
Lifecourse Approach to Developmental Repercussions of Environmental Agents on Metabolic and Respiratory health (LA DREAMERs)UG3OD023287 · OD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRETON, CARRIE VAN DOREN, GILLILAND, FRANK D. · 2016 to 2017
$6.5M
Exposure to mobile source air pollution and adverse birth outcomes in the Los AngR21ES016379 · NIEHS · UNIVERSITY OF CALIFORNIA-IRVINE · PI WU, JUN · 2008 to 2009
$552k
Neurodevelopment in Urban Environments: Role of Exposure to Ambient Air PollutionR21ES022369 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BAKER, LAURA A, CHEN, JIU-CHIUAN · 2013 to 2014
$468k
NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R21 ES016379NIEHS NIH HHS R21 ES022369NIH HHS UG3 OD023287NIH HHS UH3 OD023287
6 · The paper itself

Abstract

backgroundAccurate estimation of nitrogen dioxide (NO

objectivesIn this study, we aim to develop highly accurate and adaptive machine learning models to predict high-resolution NO

methodsWe used a comprehensive Kruskal-K-means method to cluster the measurement samples from multiple heterogeneous sources. Spatiotemporal cluster-based bootstrap aggregating (bagging) of the base mixed-effects models was then applied, leveraging the clusters to obtain balanced and less correlated training samples for less bias and improvement in generalization. Further, we used the machine learning technique of grid search to find the optimal interaction of temporal basis functions and the scale of spatial effects, which, together with spatiotemporal covariates, adequately captured spatiotemporal variability in NO

resultsWe found an optimal combination of four temporal basis functions and 200 m scale spatial effects for the base mixed-effects models. With the cluster-based bagging of the base models, we obtained robust predictions with an ensemble cross validation R

conclusionsOur approach has important implications for fusing data from highly clustered and heterogeneous measurement samples from multiple data sources to produce highly accurate concentration estimates of air pollutants such as NO

Indexed as

Machine LearningAir PollutantsAir PollutionCaliforniaCluster AnalysisEnvironmental MonitoringModels, TheoreticalNitrogen DioxideNitrogen OxidesAir PollutantsNitrogen DioxideNitrogen OxidesAir pollutionCluster methodsGeneralizationMachine learningNitrogen oxidesSpatiotemporal variability

Identifiers

PMID31078000
PMCPMC6538277

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.