Melbourne, Victoria
Australia
Monash University - Department of Epidemiology and Preventive Medicine
Preterm birth, Birth outcomes, Air pollution, Temperature extremes, Threshold effect.
greenspace, temperature, mortality, effect modification
Survival analysis, multiple instance learning, whole slide image, deep learning interpretation.
particulate matter; dietary pattern; hypertension; blood pressure
COVID-19, Booster, Cost-effective analysis, Markov model, Australia
Keywords: COVID-19, Booster, Cost-effective analysis, Markov model, Australia
Greenness, Myopia, Visual acuity, Mediation, Children, Repeated measures
Fine particulate matter, Ozone, Children's health, Illness-related school absenteeism, Hospital visit record
temperature, mortality, COVID-19, Italy
air pollution wave, cold wave, joint event, spatiotemporal characteristics, influencing factor analysis, PM2.5
Light at night, Mild cognitive impairment, Veteran, China.
MHC-II peptide binding, supervised contrastive learning, binding affinity prediction, binding core identification, Interpretability analysis
Microcystins, Exposure Risk, Africa, Climatic Zones, Inland waters
Residential greenness, Bone strength, osteoporosis, Ambient air pollution, physical activity, causal mediation analyses
ambient air pollution; long-term exposure; insomnia; physical activity
Deep ensemble machine learning (DEML), Bayesian Maximum Entropy (BME), blending, exposure modelling, ozone, air pollution epidemiology
heavy metal, Blood mercury, Depressive symptoms, Metabolomics, Chinese young adults, Cohort study
Keywords: Hemorrhagic fever with the renal syndrome, temporal and spatial analysis, climate, socioeconomic factors, Northeastern China
ozone, residential greenness, mitochondrial DNA copy number, telomere length, rural population
deep ensemble model, indoor air pollution, Machine learning, PM2.5, Australia
deep ensemble model, indoor air pollution, machine learning, PM2.5, Australia
insulin resistance, ambient ozone pollution, telomere length, liver gluconeogenesis