AI Medical Compendium Journal:
Environmental health : a global access science source

Showing 1 to 4 of 4 articles

The role of artificial intelligence in occupational health in radiation exposure: a scoping review of the literature.

Environmental health : a global access science source
INTRODUCTION: Artificial intelligence (AI) has the potential to significantly enhance workplace safety and mitigate occupational radiation exposure risks by improving the accuracy of assessment and management of these hazards. This study aims to revi...

Automated classification of time-activity-location patterns for improved estimation of personal exposure to air pollution.

Environmental health : a global access science source
BACKGROUND: Air pollution epidemiology has primarily relied on measurements from fixed outdoor air quality monitoring stations to derive population-scale exposure. Characterisation of individual time-activity-location patterns is critical for accurat...

Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology.

Environmental health : a global access science source
Geospatial artificial intelligence (geoAI) is an emerging scientific discipline that combines innovations in spatial science, artificial intelligence methods in machine learning (e.g., deep learning), data mining, and high-performance computing to ex...

Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES.

Environmental health : a global access science source
BACKGROUND: There is growing concern of health effects of exposure to pollutant mixtures. We initially proposed an Environmental Risk Score (ERS) as a summary measure to examine the risk of exposure to multi-pollutants in epidemiologic research consi...