Public Health & Policy

Environmental Health

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

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Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram.

OBJECTIVE: This study classifies sleep stages from a single lead electrocardiogram (ECG) using beat ...

Particulate Matter Exposure of Passengers at Bus Stations: A Review.

This review clarifies particulate matter (PM) pollution, including its levels, the factors affecting...

Marine litter accumulation along the Bulgarian Black Sea coast: Categories and predominance.

Quantitative assessment of marine litter (ML) along the Bulgarian Black Sea coastline was presented....

Leachate generation rate modeling using artificial intelligence algorithms aided by input optimization method for an MSW landfill.

Leachate is one of the main surface water pollution sources in Selangor State (SS), Malaysia. The pr...

Two-dimensional TiO nanoflakes enable rapid SALDI-TOF-MS detection of toxic small molecules (dyes and their metabolites) in complex environments.

High surface area (136 m g) nanoporous two-dimensional TiO nanoflakes are applied as an adsorbent an...

Do reductions in agricultural field drainage during the growing season impact bacterial densities and loads in small tile-fed watersheds?

Predicting bacterial levels in watersheds in response to agricultural beneficial management practice...

Unusual presence of 'ghosts' following lead extraction for recurrent reactive pericarditis: a case report.

BACKGROUND: The presence of a persistent fibrous sheath in right-sided heart chambers after transven...

Influence of Industrialization and Environmental Protection on Environmental Pollution: A Case Study of Taihu Lake, China.

In order to quantitatively study the effect of environmental protection in China since the twenty-fi...

Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-Linear Methods of Machine Learning.

We have previously developed an automated localization method based on multiple linear regression (M...

Using machine learning to investigate self-medication purchasing in England via high street retailer loyalty card data.

The availability alongside growing awareness of medicine has led to increased self-treatment of mino...

Comparison of mixing layer height inversion algorithms using lidar and a pollution case study in Baoding, China.

Beijing-Tianjin-Hebei area is suffering from atmospheric pollution from a long time. The understandi...

Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Lung cancer is still one of the most common causes of death around the world, while there is overwhe...

Space-time trends of PM constituents in the conterminous United States estimated by a machine learning approach, 2005-2015.

Particulate matter with aerodynamic diameter less than 2.5 μm (PM) is a complex mixture of chemical ...

Iterative quality enhancement via residual-artifact learning networks for low-dose CT.

Radiation exposure and the associated risk of cancer for patients in computed tomography (CT) scans ...

Use of a convolutional neural network for the classification of microbeads in urban wastewater.

Scientists are on the lookout for a practical model that can serve as a standard for sorting out, id...

The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb.

Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability an...

Multi-stage SVM approach for cardiac arrhythmias detection in short single-lead ECG recorded by a wearable device.

OBJECTIVE: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal qualit...

How Specific Abilities Might Throw '' a Curve: An Idea on How to Capitalize on the Predictive Validity of Specific Cognitive Abilities.

School grades are still used by universities and employers for selection purposes. Thus, identifying...

Light-Driven Micro/Nanomotor for Promising Biomedical Tools: Principle, Challenge, and Prospect.

A micro/nanomotor (MNM), as miniaturized machinery, can potentially bridge the application gap betwe...

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