Public Health & Policy

Environmental Health

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

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Predicting the environmental fate of biodegradable mulch films: A machine learning approach for sustainable agriculture.

Biodegradable plastic mulch films (BDM) have been proposed as one of the dominant strategies for pla...

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms.

Alga toxins have recently emerged as environmental risk factors to multiple human health issues. Mit...

Assessment of POPs in foods from western China: Machine learning insights into risk and contamination drivers.

Persistent organic pollutants (POPs), including PCDD/Fs, PCBs, and PBDEs, are major environmental an...

Clinical-level screening of sleep apnea syndrome with single-lead ECG alone is achievable using machine learning with appropriate time windows.

PURPOSE: To establish a simple and noninvasive screening test for sleep apnea (SA) that imposes less...

Insight into VOCs source profiles by machine learning: Role of commonalities in synergistic pollution controls.

Under the trend of low-carbon and cost-reduction, achieving efficient control requires identifying t...

Enhanced electrocardiogram classification using Gramian angular field transformation with multi-lead analysis and segmentation techniques.

Conventional manual or feature-based ECG analysis methods are limited by time inefficiencies and hum...

A method for delineating traffic low emission control zone based on deep learning and multi-objective optimization.

Current methods for defining traffic low emission control zones (TLEZ) often face limitations that h...

Optimizing Cu adsorption prediction in Undaria pinnatifida using machine learning and isotherm models.

Algae are cost-effective bioadsorbents for heavy metal remediation, yet their potential is underutil...

Assessing the impact of traffic restriction interventions on school air quality: a citizen science-based modelling study.

Air pollution poses a significant threat to human health, especially for the vulnerable groups such ...

Deep transfer learning for spatiotemporal mapping of PM nitrate across China: Addressing small data challenges in environmental machine learning.

The proportion of nitrate in PM is increasing in China, leading to rising health risks. However, due...

Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings.

Advancements in medical technology have extended long-term electrocardiogram (ECG) monitoring from t...

Applications of machine learning in potentially toxic elemental contamination in soils: A review.

Soil contamination by potentially toxic elements (PTEs) poses substantial risks to the environment a...

Microplastics migration mechanisms in high-erosion watersheds under climate warming.

Understanding Microplastics (MPs) migration in small watersheds is crucial for pollution management,...

A novel deep learning-based floating garbage detection approach and its effectiveness evaluation in environmentally sustainable development.

Floating garbage removal is an essential environmental strategy to reduce water pollution and achiev...

Artificial Intelligence for the Discovery of Safe and Effective Flame Retardants.

Organophosphorus flame retardants (OPFRs) are important chemical additives that are used in commerci...

Predicting and investigating water quality index by robust machine learning methods.

This study addresses the critical challenges of waste management and water quality in urban environm...

U-shaped deep learning networks for algal bloom detection using Sentinel-2 imagery: Exploring model performance and transferability.

Inland water sources, such as lakes, support diverse ecosystems and provide essential services to hu...

An Energy-Efficient Configurable 1-D CNN-Based Multi-Lead ECG Classification Coprocessor for Wearable Cardiac Monitoring Devices.

Many electrocardiogram (ECG) processors have been widely used for cardiac monitoring. However, most ...

Spatiotemporal evolution and risk thresholds of PM components in China from the human health perspective.

PM is a significant global public health hazard, with its components closely linked to various fatal...

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