Public Health & Policy

Environmental Health

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

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Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.

Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate....

Research on the influencing factors of PM in China at different spatial scales based on machine learning algorithm.

PM pollution is one of the prominent environmental issues currently faced in China, influenced by va...

Artificial neural network-based fungal chitin production for submicron-chitosan synthesis: effects on bioremediation for heavy metal pollution.

This study focused on optimizing fungal chitin (CT) production from a newly identified Fusarium inca...

Improving real-time forecasting of bay water quality by integrating in-situ monitoring, machining learning, and process-based modeling.

Frequent occurrences of disasters such as red tides significantly threaten bay ecosystems, making ne...

Exploring the link between grandmaternal air pollution exposure and Grandchild's ASD risk: A multigenerational population-based study in California.

BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with increasing prevalen...

Prediction of enhanced coagulation with varied pre-oxidations for seasonal variations of cyanobacteria-dominated algae-laden water quality.

Enhanced coagulation with pre-oxidation is a cost-effective approach for managing seasonal water qua...

XenoBug: machine learning-based tool to predict pollutant-degrading enzymes from environmental metagenomes.

Application of machine learning-based methods to identify novel bacterial enzymes capable of degradi...

Improved surface NO Retrieval: Double-layer machine learning model construction and spatio-temporal characterization analysis in China (2018-2023).

As an important atmospheric pollutant causing serious harm to human health and the natural environme...

Faster R-CNN approach for estimating global QRS duration in electrocardiograms with a limited quantity of annotated data.

In electrocardiography (ECG), measurement of QRS duration (QRSd) is crucial for diagnosing condition...

Artificial Intelligence-Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms.

IMPORTANCE: Despite the availability of disease-modifying therapies, scalable strategies for heart f...

Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification.

BACKGROUND AND OBJECTIVE: The 12-lead electrocardiography (ECG) is a widely used diagnostic method i...

Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning.

Traffic emissions have become the major air pollution source in urban areas. Therefore, understandin...

DeepMBEnzy: An AI-Driven Database of Mycotoxin Biotransformation Enzymes.

Mycotoxins are toxic fungal metabolites that pose significant health risks. Enzyme biotransformation...

Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation.

Traffic congestion forecasting is one of the major elements of the Intelligent Transportation System...

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