ArticleEnvironmental health perspectives2022
Deep Ensemble Machine Learning Framework for the Estimation of
Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Comorbidity Exposure-Window Definitions and Multidimensional Disparities in Long COVID Risk: Evidence from a U.S. National Cohort (2020-2024).medRxiv : the preprint server for health sciences · 2026Article
- Comparison of High Spatial Resolution PMEnvironmental science & technology · 2026Article
- Climate-aware hybrid Kolmogorov-Arnold networks for interpretable solar radiation forecasting.Scientific reports · 2026Article
- Enhancing Estimation of Fine Particulate Matter Chemical Composition across North America by Including GeophysicalACS ES&T air · 2026Article
- A Machine Learning Approach to Predicting Household Smoke Exposure Risk in Somalia: An Analysis With SHAP Explanations.Environmental health insights · 2026Article
- Artificial Intelligence in Environment and Human Health: Progress, Opportunities and Challenges.Current environmental health reports · 2025Review
- Hour by Hour PMACS ES&T air · 2025Article
- Innovative machine learning approach for liver fibrosis and disease severity evaluation in MAFLD patients using MRI fat content analysis.Clinical and experimental medicine · 2025Article
- A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025Review
- High resolution mapping of nitrogen dioxide and particulate matter in Great Britain (2003-2021) with multi-stage data reconstruction and ensemble machine learning methods.Atmospheric pollution research · 2024Article
- Landscape analysis of environmental data sources for linkage with SEER cancer patients database.Journal of the National Cancer Institute. Monographs · 2024Article
- Ambient fine particulate matter and daily mortality: a comparative analysis of observed and estimated exposure in 347 cities.International journal of epidemiology · 2024Article
- Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches.Journal of exposure science & environmental epidemiology · 2024Article
- Microbial signatures predictive of short-term prognosis in severe pneumonia.Frontiers in cellular and infection microbiology · 2024Article
- Linking Prenatal Environmental Exposures to Lifetime Health with Epigenome-Wide Association Studies: State-of-the-Science Review and Future Recommendations.Environmental health perspectives · 2023Review
- Measurement error correction for ambient PMEnvironmental research · 2023Article
- A novel ensemble-based statistical approach to estimate daily wildfire-specific PMEnvironment international · 2023Article
- Response to "Comment on 'Deep Ensemble Machine Learning Framework for the Estimation ofEnvironmental health perspectives · 2022Article
- Comment on "Deep Ensemble Machine Learning Framework for the Estimation ofEnvironmental health perspectives · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate estimation of historical
objectivesThe aim of this study was to develop a multiple-level stacked ensemble machine learning framework for improving the estimation of the daily ground-level
methodsAn innovative deep ensemble machine learning framework (DEML) was developed to estimate the daily
resultsThe results revealed that the DISCUSSION: The proposed DEML framework achieved an outstanding performance in
Indexed as
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Registered trials
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.