Public Health & Policy

Environmental Health

Latest AI and machine learning research in environmental health for healthcare professionals.

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Showing 274-294 of 6,302 articles
Unraveling Microplastic Effects on Gut Microbiota across Various Animals Using Machine Learning.

Microplastics, rapidly expanding and durable pollutant, have been shown to significantly impact gut ...

12 lead surface ECGs as a surrogate of atrial electrical remodeling - a deep learning based approach.

BACKGROUND AND PURPOSE: Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electri...

A Comparative Analysis of Explainable Artificial Intelligence Models for Electric Field Strength Prediction over Eight European Cities.

The widespread propagation of wireless communication devices, from smartphones and tablets to Intern...

Identifying human activities causing water pollution based on microbial community sequencing and source classifier machine learning.

Identifying and differentiating human activities is crucial for effectively preventing the threats p...

Achieving pollution abatement and carbon reduction synergistically: How can industrial robots play a role?

Intelligent manufacturing and green development are pivotal issues in China's pursuit of high-qualit...

Mapping of high-resolution daily particulate matter (PM) concentration at the city level through a machine learning-based downscaling approach.

PM pollution is a major global concern, especially in Vietnam, due to its harmful effects on health ...

Recent advances in groundwater pollution research using machine learning from 2000 to 2023: A bibliometric analysis.

Groundwater pollution has become a global challenge, posing significant threats to human health and ...

Advanced Mass-Spectra-Based Machine Learning for Predicting the Toxicity of Traditional Chinese Medicines.

Traditional Chinese medicine (TCM) has been a cornerstone of health care for centuries, valued for i...

The Influence of Blood Titanium Levels on DNA Damage in Brazilian Workers Occupationally Exposed to Different Chemical Agents.

Occupational exposure to pollutants may cause health-damaging effects in humans. Genotoxicity assays...

Spatiotemporal modeling of long-term PM concentrations and population exposure in Greece, using machine learning and statistical methods.

The lack of high-resolution, long-term PM observations in Greece and the Eastern Mediterranean hampe...

Technological innovations fuel carbon prices and transform environmental management across Europe.

This study investigates the impact of recent Artificial Intelligence (AI)-driven technological innov...

Wastewater treatment plant site selection using advanced decision tree machine learning and remote sensing techniques.

Wastewater treatment plants in Coimbatore South are under pressure from rapid urbanization, inadequa...

Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms.

Global warming and extreme climate conditions caused by unsuitable temperature and humidity lead to ...

Endocrine disruptor identification and multitoxicity level assessment of organic chemicals: An example of multiple machine learning models.

Endocrine-disrupting chemicals (EDCs) pollution is a major global environmental issue. Assessing the...

Ensemble learning-assisted quantitative identifying influencing factors of cadmium and arsenic concentration in rice grain based multiplexed data.

Rapid and accurate prediction of rice Cd (rCd) and rice As (rAs) bioaccumulation are important for a...

Machine Learning-Assisted "Shrink-Restricted" SERS Strategy for Classification of Environmental Nanoplastic-Induced Cell Death.

The biotoxicity of nanoplastics (NPs), especially from environmental sources, and "NPs carrier effec...

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