Public Health & Policy

Environmental Health

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

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Deployment of intelligent irrigation monitoring system with Android app for machine learning prediction.

Water is a fundamental necessity for humans and a critical resource in agriculture. However, water s...

A Physically Constrained Deep-Learning Fusion Method for Estimating Surface NO Concentration from Satellite and Ground Monitors.

Accurate estimation of atmospheric chemical concentrations from multiple observations is crucial for...

Machine learning estimates on the impacts of detection times on wildfire suppression costs.

As climate warming exacerbates wildfire risks, prompt wildfire detection is an essential step in des...

Uncovering global risk to human and ecosystem health from pesticides in agricultural surface water using a machine learning approach.

Pesticides typically co-occur in agricultural surface waters and pose a potential threat to human an...

Evaluation of machine learning and deep learning models for daily air quality index prediction in Delhi city, India.

The air quality index (AQI), based on criteria for air contaminants, is defined to provide a shared ...

High-resolution spatiotemporal prediction of PM concentration based on mobile monitoring and deep learning.

Obtaining the high-resolution distribution characteristics of urban air pollutants is crucial for ef...

Identifying and quantifying multiple pollution sources in estuaries using fluorescence spectra and gradient-based deep learning.

This study developed an intelligent method for identifying and quantifying water pollution sources i...

AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges.

BACKGROUND: Mental health disorders are currently the main contributor to poor quality of life and y...

Why we should talk about institutional (dis)trustworthiness and medical machine learning.

The principle of trust has been placed at the centre as an attitude for engaging with clinical machi...

Water environment risk prediction method based on convolutional neural network-random forest.

The accelerated processes of urbanization and industrialization globally have resulted in an increas...

Microplastics and Trash Cleaning and Harmonization (MaTCH): Semantic Data Ingestion and Harmonization Using Artificial Intelligence.

With the rapid expansion of microplastic research and reliance on semantic descriptors, there is an ...

Improving the construction and prediction strategy of the Air Quality Health Index (AQHI) using machine learning: A case study in Guangzhou, China.

Effectively capturing the risk of air pollution and informing residents is vital to public health. T...

Machine learning-based rational design for efficient discovery of allatostatin analogs as promising lead candidates for novel IGRs.

BACKGROUND: Insect neuropeptide allatostatins (ASTs) play a vital role in regulating insect growth, ...

Statistical inference and neural network training based on stochastic difference model for air pollution and associated disease transmission.

A polluted air environment can potentially provoke infections of diverse respiratory diseases. The d...

Can urban digital intelligence transformation promote corporate green innovation? Evidence from China.

Can urban digital intelligence transformation (DIT) facilitate corporate green innovation (CGI)? Thi...

Mining soil heavy metal inversion based on Levy Flight Cauchy Gaussian perturbation sparrow search algorithm support vector regression (LSSA-SVR).

Soil heavy metal pollution in mining areas poses severe challenges to the ecological environment. In...

Big data from population surveys and environmental monitoring-based machine learning predictions of indoor PM in 22 cities in China.

Many studies have confirmed that PM exposure can cause a variety of diseases. Because people spend m...

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