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Overview of Cotinine Cutoff Values for Smoking Status Classification

International journal of environmental research and public health, 2016-12, Vol.13 (12), p.1236

Kim, Sungroul

2016

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Household insecticide use and urinary 3-phenoxybenzoic acid levels in an elder population: a repeated measures data

Journal of exposure science & environmental epidemiology, 2021-11, Vol.31 (6), p.1017-1031

2021

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Optimum Cutoff Value of Urinary Cotinine Distinguishing South Korean Adult Smokers From Nonsmokers Using Data From the KNHANES (2008–2010)

Nicotine & tobacco research, 2013-09, Vol.15 (9), p.1608-1616

2013

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Evaluation of Performance of Inexpensive Laser Based PM2.5 Sensor Monitors for Typical Indoor and Outdoor Hotspots of South Korea

Applied sciences, 2019-05, Vol.9 (9), p.1947

2019

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Activity Prediction Based on Deep Learning Techniques

Applied sciences, 2023-05, Vol.13 (9), p.5684

2023

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Are Heated Tobacco Product Users Less Likely to Quit than Cigarette Smokers? Findings from THINK (Tobacco and Health IN Korea) Study

International journal of environmental research and public health, 2020-11, Vol.17 (22), p.8622

2020

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Effects of indoor air cleaner with filter in children with asthma

The World Allergy Organization journal, 2020-08, Vol.13 (8), p.100283, Article 100283

2020

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Indoor and outdoor PM2.5 exposure, and anxiety among schoolchildren in Korea: a panel study

Environmental science and pollution research international, 2020-08, Vol.27 (22), p.27984-27994

2020

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Performance improvement of machine learning techniques predicting the association of exacerbation of peak expiratory flow ratio with short term exposure level to indoor air quality using adult asthmatics clustered data

PloS one, 2021-01, Vol.16 (1), p.e0244233

2021

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Assessment of Daily Personal PM2.5 Exposure Level According to Four Major Activities among Children

Applied sciences, 2020-01, Vol.10 (1), p.159

2020

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Improved Interpolation and Anomaly Detection for Personal PM2.5 Measurement

Applied sciences, 2020-01, Vol.10 (2), p.543

2020

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Smoking Prevalence and the Association Between Smoking and Sociodemographic Factors Using the Korea National Health and Nutrition Examination Survey Data, 2008 to 2010

Tobacco Use Insights, 2012-01, Vol.2012 (2012), p.17

Kim, Sungroul

2012

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Comparison of the Concentrations of Heavy Metals in PM2.5 Analyzed in Three Different Global Research Institutions Using X-ray Fluorescence

Applied sciences, 2022-05, Vol.12 (9), p.4572

2022

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Forecasting the Effects of Real-Time Indoor PM2.5 on Peak Expiratory Flow Rates (PEFR) of Asthmatic Children in Korea: A Deep Learning Approach

IEEE access, 2022, Vol.10, p.19391-19400

2022

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Perceived relative harm of heated tobacco products and electronic cigarettes and its association with use in smoke-free places: A cross-sectional analysis of Korean adults

Tobacco induced diseases, 2022-02, Vol.20 (February), p.20-11

2022

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Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models

Life (Basel, Switzerland), 2022-10, Vol.12 (10), p.1631

2022

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Comparison of the air change per hour measured over four seasons in the residential buildings of the urban, rural, and industrial areas of South Korea: K-IOP Study

Environmental advances, 2024-04, Vol.15, p.100464, Article 100464

2024

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JUUL preference among Korean adult tobacco users and its effect on attempts to quit tobacco: A follow-up survey four months post JUUL launch

Tobacco induced diseases, 2023-03, Vol.21 (March), p.39-12

2023

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Machine Learning-Based Activity Pattern Classification Using Personal PM2.5 Exposure Information

International journal of environmental research and public health, 2020-09, Vol.17 (18), p.6573

2020

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Smoking topography in Korean smokers

Tobacco induced diseases, 2018-03, Vol.16 (1)

2018

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Smoking Topography among Korean Smokers: Intensive Smoking Behavior with Larger Puff Volume and Shorter Interpuff Interval

International journal of environmental research and public health, 2018-05, Vol.15 (5), p.1024

2018

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Winter Season Temperature Drops and Sulfur Dioxide Levels Affect on Exacerbation of Refractory Asthma in South Korea: A Time-Trend Controlled Case-Crossover Study Using Soonchunhyang Asthma Cohort Data

The Journal of asthma, 2012-09, Vol.49 (7), p.679-687

2012

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Determinants of Hair Nicotine Concentrations in Nonsmoking Women and Children: A Multicountry Study of Secondhand Smoke Exposure in Homes

Cancer epidemiology, biomarkers & prevention, 2009-12, Vol.18 (12), p.3407-3414

2009

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Machine Learning-Based Activity Pattern Classification Using Personal PM 2.5 Exposure Information

International journal of environmental research and public health, 2020-09, Vol.17 (18)

2020

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Overview of Cotinine Cutoff Values for Smoking Status Classification

Household insecticide use and urinary 3-phenoxybenzoic acid levels in an elder population: a repeated measures data

Optimum Cutoff Value of Urinary Cotinine Distinguishing South Korean Adult Smokers From Nonsmokers Using Data From the KNHANES (2008–2010)

Evaluation of Performance of Inexpensive Laser Based PM2.5 Sensor Monitors for Typical Indoor and Outdoor Hotspots of South Korea

Activity Prediction Based on Deep Learning Techniques

Are Heated Tobacco Product Users Less Likely to Quit than Cigarette Smokers? Findings from THINK (Tobacco and Health IN Korea) Study

Effects of indoor air cleaner with filter in children with asthma

Indoor and outdoor PM2.5 exposure, and anxiety among schoolchildren in Korea: a panel study

Performance improvement of machine learning techniques predicting the association of exacerbation of peak expiratory flow ratio with short term exposure level to indoor air quality using adult asthmatics clustered data

Assessment of Daily Personal PM2.5 Exposure Level According to Four Major Activities among Children

Improved Interpolation and Anomaly Detection for Personal PM2.5 Measurement

Smoking Prevalence and the Association Between Smoking and Sociodemographic Factors Using the Korea National Health and Nutrition Examination Survey Data, 2008 to 2010

Comparison of the Concentrations of Heavy Metals in PM2.5 Analyzed in Three Different Global Research Institutions Using X-ray Fluorescence

Forecasting the Effects of Real-Time Indoor PM2.5 on Peak Expiratory Flow Rates (PEFR) of Asthmatic Children in Korea: A Deep Learning Approach

Perceived relative harm of heated tobacco products and electronic cigarettes and its association with use in smoke-free places: A cross-sectional analysis of Korean adults

Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models

Comparison of the air change per hour measured over four seasons in the residential buildings of the urban, rural, and industrial areas of South Korea: K-IOP Study

JUUL preference among Korean adult tobacco users and its effect on attempts to quit tobacco: A follow-up survey four months post JUUL launch

Machine Learning-Based Activity Pattern Classification Using Personal PM2.5 Exposure Information

Smoking topography in Korean smokers

Population health outcomes in South Korea 1990–2019, and projections up to 2040: a systematic analysis for the Global Burden of Disease Study 2019

Smoking Topography among Korean Smokers: Intensive Smoking Behavior with Larger Puff Volume and Shorter Interpuff Interval

Winter Season Temperature Drops and Sulfur Dioxide Levels Affect on Exacerbation of Refractory Asthma in South Korea: A Time-Trend Controlled Case-Crossover Study Using Soonchunhyang Asthma Cohort Data

Determinants of Hair Nicotine Concentrations in Nonsmoking Women and Children: A Multicountry Study of Secondhand Smoke Exposure in Homes

Machine Learning-Based Activity Pattern Classification Using Personal PM 2.5 Exposure Information

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