AIMC Topic: Environmental Health
Clear Filters Showing 11 to 18 of 18 articles
Proximity Environmental Feature Based Tree Health Assessment Scheme Using Internet of Things and Machine Learning Algorithm.
Sensors (Basel, Switzerland)
Jul 15, 2019
Improperly grown trees may cause huge hazards to the environment and to humans, through e.g., climate change, soil erosion, etc. A proximity environmental feature-based tree health assessment (PTA) scheme is proposed to prevent these hazards by provi...
Using machine learning to examine the relationship between asthma and absenteeism.
Environmental monitoring and assessment
Jun 28, 2019
In this study, we found that machine learning was able to effectively estimate student learning outcomes geo-spatially across all the campuses in a large, urban, independent school district. The machine learning showed that key factors in estimating ...
A picture tells a thousand…exposures: Opportunities and challenges of deep learning image analyses in exposure science and environmental epidemiology.
Environment international
Nov 22, 2018
BACKGROUND: Artificial intelligence (AI) is revolutionizing our world, with applications ranging from medicine to engineering.
Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology.
Environmental health : a global access science source
Apr 17, 2018
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...
Machine learning-based analysis on factors influencing blood heavy metal concentrations in the Korean CHildren's ENvironmental health Study (Ko-CHENS).
The Science of the total environment
May 25, 2025
Heavy metal concentration in pregnant women affects neurocognitive and behavioral development of their infants and children. The majority of existing research focusing on pregnant women's heavy metal concentration has considered individual environmen...
Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals.
ALTEX
Jan 1, 2024
Green toxicology is marching chemistry into the 21st century. This emerging framework will transform how chemical safety is evaluated by incorporating evaluation of the hazards, exposures, and risks associated with chemicals into early product develo...
Machine Learning Within Studies of Early-Life Environmental Exposures and Child Health: Review of the Current Literature and Discussion of Next Steps.
Current environmental health reports
Sep 1, 2020
PURPOSE OF REVIEW: The goal of this article is to review the use of machine learning (ML) within studies of environmental exposures and children's health, identify common themes across studies, and provide recommendations to advance their use in rese...
Resilience actions to counteract the effects of climate change and health emergencies in cities: the role of artificial neural networks.
Annali dell'Istituto superiore di sanita
Jan 1, 2019
Both the World Health Organization (WHO) with its 2015 "Climate and Health Country Profile Project" and the Istituto Superiore di Sanità (ISS) with its 2018 "Health and Climate Change", agree on the emergency generated by the climate change and conce...
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