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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Environmental Health
Last data update: Apr 17, 2024
. (Total: 63598 Documents since 2012)
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Air Pollution[original query]>>Original Studies[Product Type]
Machine learning strengthened prediction of tracheal, bronchus, and lung cancer deaths due to air pollution.
Jagadish Kumar Mogaraju et al. Environ Sci Pollut Res Int 2023
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Relationship of long-term air pollution exposure with asthma and rhinitis in Italy: an innovative multipollutant approach.
Sara Maio et al. Environmental research 2023 115455
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Traffic-Related Air Pollution and Ground-Level Ozone Associated Global DNA Hypomethylation and Bulky DNA Adduct Formation.
Armelle Munnia et al. International journal of molecular sciences 2023 24(3)
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Evaluation of Model-Based PM Estimates for Exposure Assessment during Wildfire Smoke Episodes in the Western U.S.
Ellen M Considine et al. Environmental science & technology 2023
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Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Algorithm Development and Validation.
Lin Chen et al. JMIR formative research 2022 6(12) e23422
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Tracking Daily Concentrations of PM Chemical Composition in China since 2000.
Liu Shigan et al. Environmental science & technology 2022
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Application of machine learning approaches to predict the impact of ambient air pollution on outpatient visits for acute respiratory infections.
Ravindra Khaiwal et al. The Science of the total environment 2022 159509
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Prediction of COPD acute exacerbation in response to air pollution using exosomal circRNA profile and Machine learning.
Meng Qingtao et al. Environment international 2022 168107469
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The Canadian Optimized Statistical Smoke Exposure Model (CanOSSEM): A machine learning approach to estimate national daily fine particulate matter (PM) exposure.
Paul Naman et al. The Science of the total environment 2022 157956
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CFTR gene variants, air pollution, and childhood asthma in a California Medicaid population.
Thilakaratne Ruwan et al. Pediatric pulmonology 2022
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Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches.
Lee Woojoo et al. Environmental science and pollution research international 2022
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Development and Evaluation of Statistical Models Based on Machine Learning Techniques for Estimating Particulate Matter (PM and PM) Concentrations.
Hong Wan Yun et al. International journal of environmental research and public health 2022 19(13)
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A novel seasonal index-based machine learning approach for air pollution forecasting.
Khan Adeel et al. Environmental monitoring and assessment 2022 194(6) 429
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Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research.
Huang Jianwei et al. Sensors (Basel, Switzerland) 2022 22(6)
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Maternal exposure to black carbon and nitrogen dioxide during pregnancy and birth weight: Using machine-learning methods to achieve balance in inverse-probability weights.
Dong Shuxin et al. Environmental research 2022 112978
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Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005-2019.
Zhu Qingyang et al. Environmental health perspectives 2022 130(2) 27004
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Robust relationship between ambient air pollution and infant mortality in India.
deSouza Priyanka N et al. The Science of the total environment 2022 152755
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Supervised Kohonen Self-Organizing Maps of Acute Asthma from Air Pollution Exposure.
Kebalepile Moses Mogakolodi et al. International journal of environmental research and public health 2021 18(21)
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The impact of industry cluster and environmental policies on residents' health risk evaluation using big data.
Chen Limin et al. Work (Reading, Mass.) 2021
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Ambient particulate matter air pollution is associated with increased risk of papillary thyroid cancer.
Karzai Shkala et al. Surgery 2021
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Genome-wide gene-air pollution interaction analysis of lung function in 300,000 individuals
CA Melbourne et al, MEDRXIV, June 7, 2021
Effects of air pollution in Spatio-temporal modeling of asthma-prone areas using a machine learning model.
Razavi-Termeh Seyed Vahid et al. Environmental research 2021 111344
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Prenatal exposure to air pollutants and childhood atopic dermatitis and allergic rhinitis adopting machine learning approaches: 14-year follow-up birth cohort study.
Huang Yu et al. The Science of the total environment 2021 777145982
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An interpretable self-adaptive deep neural network for estimating daily spatially-continuous PM 2.5 concentrations across China.
Chen Binjie et al. The Science of the total environment 2021 Jan 768144724
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Ensemble-based deep learning for estimating PM 2.5 over California with multisource big data including wildfire smoke.
Li Lianfa et al. Environment international 2020 Sep 145106143
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Who are more exposed to PM2.5 pollution: A mobile phone data approach.
Guo Huagui et al. Environment international 2020 Jul 143105821
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Using country-level variables to classify countries according to the number of confirmed COVID-19 cases: An unsupervised machine learning approach.
Carrillo-Larco Rodrigo M et al. Wellcome open research 2020 556
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COVID-19 PM2.5: A national study on long-term exposure to air pollution and COVID-19 mortality in the United States
Harvard University, April 6, 2020
Understanding the importance of key risk factors in predicting chronic bronchitic symptoms using a machine learning approach.
Deng Huiyu et al. BMC medical research methodology 2019 19(1) 70
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A Novel Air Quality Early-Warning System Based on Artificial Intelligence.
Mo Xinyue et al. International journal of environmental research and public health 2019 16(19)
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 17, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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