Environmental Health

A GeoML-XAI framework for identifying high PM2.5 areas and source attribution: Application to an agricultural environment.

Air pollution remains a major environmental health concern, with fine particulate matter (PM2.5) posing significant risks to human health. Although emission sources in urban and industrial areas have been widely investigated, spatial assessment and source attribution in agricultural landscapes remain limited. This study developed a GeoML-XAI framework integrating IoT microsensor networks, machine ...

Automated Imaging Differentiation for Dementia: Including Alzheimer Disease Dementia and Dementia with Lewy Bodies.

BACKGROUND AND OBJECTIVES: Differentiation of Alzheimer's disease dementia (ADD) and dementia with Lewy bodies (DLB) remains a challenge. Free-water imaging has been investigated in neurodegenerative diseases and was found to be associated with neurodegeneration and neuroinflammation. This retrospective cohort study tested whether Automated Imaging Differentiation for Dementia (AIDD), combining di...

Prediction of premature rupture of fetal membranes using deep learning in East China.

If premature rupture of fetal membranes (PROM) can be forecasted, doctors can formulate individualized medical treatment plans and optimize the utiliz...

Forecasting toxic metal concentrations in an inland sea ecosystem with machine learning algorithms.

In recent years, statistical and data-driven modeling approaches have been increasingly employed to predict element concentrations and to examine rela...

Construction and optimization of machine learning models based on remote sensing inversion of NH3-N and TP pollution in the Qiantang River Basin, China.

Rapid industrialization, urbanization, and intensive agriculture have worsened river basin water pollution globally, including in China. Traditional w...

[Expert consensus on optimizing the multidisciplinary clinical pathways and management models for pulmonary function testing].

The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...

Regional economy, physical environment and self-rated health among older adults in China: Evidence from XGBoost and SHAP.

Although the effects of the regional economy and physical environment on self-rated health among older adults in China have been widely recognized, th...

Deep learning-based classification of nitrate and nitrite concentrations from water samples using colorimetric test strip images.

Accurate monitoring of nitrate and nitrite concentrations in water is essential for sustainable agriculture, safeguarding public health, and protectin...

Heavy metal exposure and dental caries in children and adolescents: a NHANES-based analysis integrating machine learning approaches.

BACKGROUND: Dental caries remains a major public health concern among children and adolescents. While established risk factors such as diet and oral h...

Disclosing microbial nitrogen metabolism in groundwater via automated machine learning-based analysis: A fluorescence information-based approach.

Microbial nitrogen metabolism represents a complex and pivotal process underpinning nitrogen pollution in groundwater. Nonetheless, its accurate predi...

Integrated machine learning and experimental validation reveal S6K2 as a key target of 6PPD-quinone in bladder cancer.

Tire and Road Wear Particles (TRWP) are pervasive environmental contaminants, yet the molecular mechanisms linking their toxic derivative, 6PPD-quinon...

Predicting blood levels of mercury and selenium in Amazonian riverines: A machine learning approach based on questionnaire data.

This study aims to develop and evaluate machine learning models to predict blood levels of mercury and selenium in Brazilian riverines. Blood samples ...

Differentiating long QT syndrome genotypes using electrocardiographic geometric parameterization and machine learning approaches.

Long QT Syndrome (LQTS) is an inherited cardiac disorder characterized by dysfunctional cardiac ion channels, which result in prolonged QT intervals o...

A domain adversarial network for small-sample obstructive sleep apnea detection using a single-lead piezoelectric sensor.

OBJECTIVE: In recent years, increasing attention to sleep health has accelerated development of wearable devices for home monitoring. Two critical cha...

An integrated SWAT-XGBoost-SHAP framework identifies key drivers of critical source areas during critical periods in a small watershed.

Non-point source (NPS) pollution has emerged as a critical environmental issue, significantly impacting water quality and ecosystem health at the wate...

Pollutant-Specific Pathways Linking Gaseous Air Pollution to Adolescent Depressive Symptoms: Direct and Sleep-Mediated Effects in a Population-Based Retrospective Cohort Study.

OBJECTIVE: This study aimed to examine associations between multiple gaseous air pollutants across different developmental periods and depressive in l...

Characterizing Middle-aged and Older Adults' Perceptions of the Cultural Sensitivity and Quality of Generative Artificial Intelligence-authored Text Messages to Promote Physical Activity.

OBJECTIVE: Generative artificial intelligence (GenAI) could be used to write text message content in physical activity behavior change interventions f...

Raman analysis of black carbon using artificial neural networks for emission source classification.

Black Carbon (BC), a major component of Particulate Matter (PM), plays a crucial role in air pollution, climate change, and public health impacts, due...

Selective reuse of prior ensemble data improves the latest air temperature forecast over North America.

Accurate subseasonal to seasonal (S2S) weather forecasts are critical for managing risks to society, yet improving forecast skill remains challenging....

Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations.

Reducing urban particulate pollution is essential for improving air quality and reducing health risks. Achieving this objective requires accurate iden...