Public Health & Policy

Environmental Health

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

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Showing 904-924 of 6,345 articles
Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach.

Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...

Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications.

OBJECTIVE: Quality gaps in medical imaging datasets lead to profound errors in experiments. Our obje...

Deep Transfer Learning Approach for Automatic Recognition of Drug Toxicity and Inhibition of SARS-CoV-2.

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes COVID-19 and is responsible for ...

vis-NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil.

Soil contamination by potentially toxic elements (PTEs) is intensifying under increasing industriali...

Prediction modeling of potentially toxic elements' hydrogeopollution using an integrated Q-mode HCs and ANNs machine learning approach in SE Nigeria.

Machine learning techniques have proven to be very useful in environmental and engineering assessmen...

Recycled Clothing Classification System Using Intelligent IoT and Deep Learning with AlexNet.

Recently, Internet of Things (IoT) and artificial intelligence (AI), led by machine learning and dee...

Development of a portable oil type classifier using laser-induced fluorescence spectrometer coupled with chemometrics.

Due to the recurrent small spills, oil pollution along coastal regions is still a major environmenta...

Using a deep convolutional network to predict the longitudinal dispersion coefficient.

Given the interest in accurately predicting the Longitudinal Dispersion Coefficient (D) within the f...

Bidirectional stochastic configuration network for regression problems.

To adapt to the reality of limited computing resources of various terminal devices in industrial app...

GGL-Tox: Geometric Graph Learning for Toxicity Prediction.

Toxicity analysis is a major challenge in drug design and discovery. Recently significant progress h...

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping.

Recent developments in artificial intelligence have generated increasing interest to deploy automate...

A spectral characteristic analysis method for distinguishing heavy metal pollution in crops: VMD-PCA-SVM.

Exploring the characteristics and types of heavy metal pollution in crops has important implications...

Prediction of lead (Pb) adsorption on attapulgite clay using the feasibility of data intelligence models.

This study investigates the performance of support vector machine (SVM), multivariate adaptive regre...

Biosignal Sensors and Deep Learning-Based Speech Recognition: A Review.

Voice is one of the essential mechanisms for communicating and expressing one's intentions as a huma...

A Review of Robotic Interventional Neuroradiology.

Robotic interventional neuroradiology is an emerging field with the potential to enhance patient saf...

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