ScholarWorks@Dongguk University: Park, Ju hyun

Detailed Information

Park, Ju hyun (박주현)

College of Natural Science (Department of Statistics)

Research Area

Tel 02-2260-3679
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

carcinogen:6||Carcinogen:4||Exposure:4||lead:4||exposure:4||cancer:4||CAREX:4||occupational exposure:4||jobexposure matrix:3||Occupational exposure:3||oligomer:2||Lead:2||extended redundancy analysis:2||Cancer:2||polymerization:2||Burden of disease:2||Occupational cancer:2||molecular mass:2||Humidifier disinfectant (HD):2||Jobexposure matrix:2||Shift intensity:2||prevalence:2||HD associated health problem:2||Shift work:2||Smoking:2||expert judgment:2||Sarcopenia:2||Night work:2||Contrast:1||Correlation and covariance matrices:1||Determinant:1||Diesel engine exhaust emissions:1||Diesel particulate filter:1||Dietary Risk:1||Dirichlet process mixture:1||ELFMF:1||Environmental effects:1||Familial association:1||Fourier series:1||Future climate scenario:1||Global warming:1||HD associated lung injury (HDLI):1||HD exposure assessment:1||HD lung injury:1||HIV:1||Handgrip strength:1||Healthcare workers:1||Heritability:1||High risk:1||Indoor air quality:1||Industrial Accident Compensation Insurance Acts:1||Infectious disease:1||Inflammation:1||Insomnia:1||JEM:1||Job classification:1||KNHANES:1||Kenya:1||Korea:1||L1:1||Labelswitching:1||Leftcensored data:1||Logistic mixture:1||Lymphoma:1||Metabolic risk:1||Multiple myeloma:1||National surveillance system:1||Nurse:1||Nurses:1||Obesity:1||Occupational Exposure:1||Orphans:1||Osteoporosis:1||PHMG:1||PM10:1||PM2:1||Paralytic shellfish poisoning toxin:1||Peak bone mass:1||Peripheral:1||Personnel management:1||Photon:1||Platform screen door (PSD):1||Police:1||Prognosis:1||Prognostic markers:1||Renal insufficiency:1||Restrictive lung disease:1||Sarcopenic obesity:1||School support:1||Shift type:1||South Korea:1||Spatial model:1||Standard process:1||Stem cell transplantation:1||Subway:1||T cell:1||Tandem:1||Temporal Trend:1||Temporal change:1||Temporal cyclic gene expression profiles:1||Tobacco:1||Tobacco Smoking:1||Variable selection:1||White blood cell:1||Worker:1||Working hours:1||asthma:1||black carbon:1||cardiometabolic disease:1||cardiovascular disease:1||chemical risk management:1||chemotherapy:1||chloromethylisothiazolinone (CMIT):1||clustering:1||comparative risk assessment:1||componentbased models:1||continuous glucose monitoring:1||cutoff value:1||dexamethasone:1||diabetes:1||diabetes mellitus:1||diesel engine motorcar:1||directcurrent motor:1||exposure prevalence:1||extremely low frequency:1||extremely low frequencymagnetic fields (ELFMF):1||fabrication (fab) and chip packaging assembly:1||finite mixture model:1||frequency spectrum:1||glucocorticoid:1||government support programs:1||greenhouse gas emission scenario:1||handheld fan:1||health behavior:1||herpes simplexvirus type2:1||humidifier disinfectant (HD):1||humidifier disinfectantassociated lung injury:1||humidifier disinfectantassociated lung injury (HDLI):1||humidifierdisinfectantassociated lung injury (HDLI):1||hyperglycemia:1||inhalation exposure:1||intensity:1||limit of detection:1||living environment:1||magnetic field:1||maximum likelihood estimation:1||meta analysis:1||methylisothiazolinone (MIT):1||missing data:1||multiple imputation:1||numberaverage molecular weight (Mn):1||occupation:1||occupational cancer:1||ordinal logistic regression:1||patient:1||polycyclic aromatic hydrocarbons:1||polyhexamethylene guanidine (PHMG):1||power prior distribution:1||probability:1||process standardization:1||regression analysis:1||risk:1||semiconductors:1||smallscale business:1||special health examination data:1||standardization:1||subway:1||sunlight:1||systematic review:1||timeactivity exposure pattern:1||trend:1||ultraviolet radiation:1||vitamin D:1||wafer fabrication:1||weightaverage molecular weight (Mw):1||work environment measurement database:1||work environment monitoring data:1||βsubstitution:1||기후변화:1||메타분석:1||온실가스 배출 시나리오:1||‌Osteoporosis:1||회귀분석:1||1hydroxypyrene:1||5:1||Absorptiometry:1||Acute myeloid leukemia:1||Adipopenia:1||Adjusted Rand index:1||Adolescent:1||Agin:1||Asia:1||Autologous:1||Bayesian:1||Bayesian framework:1||Bayesian inference:1||Bayesian methodology:1||Black carbon:1||Bone mineral density:1||C reactive protein:1||Creactive protein:1||COVID19:1||COVID19 workers? compensation:1||Cardiometabolic disease:1||Cardiovascular disease:1||Censored regression model:1||Cigarette:1||Climate change:1||Climatology:1||Computed tomography:1||

RSS_1.0 RSS_2.0 ATOM_1.0

30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE