Environmental Health

Using machine learning to understand the temporal morphology of the PM annual cycle in East Asia.

PM air pollution is a significant issue for human health all over the world, especially in East Asia...

A Deep Learning-Based Automatic Mosquito Sensing and Control System for Urban Mosquito Habitats.

Mosquito control is important as mosquitoes are extremely harmful pests that spread various infectio...

A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide.

Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiol...

Machine Learning-Based Integration of High-Resolution Wildfire Smoke Simulations and Observations for Regional Health Impact Assessment.

Large wildfires are an increasing threat to the western U.S. In the 2017 fire season, extensive wild...

The application of machine learning methods for prediction of metal sorption onto biochars.

The adsorption of six heavy metals (lead, cadmium, nickel, arsenic, copper, and zinc) on 44 biochars...

Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China.

Tropospheric ozone in the surface air has become the primary atmospheric pollutant in Hangzhou, Chin...

Analysis of noise pollution emitted by stationary MF285 tractor using different mixtures of biodiesel, bioethanol, and diesel through artificial intelligence.

In the present study, the noise pollution from different compositions of biodiesel, bioethanol, and ...

Enhancing Acute Oral Toxicity Predictions by using Consensus Modeling and Algebraic Form-Based 0D-to-2D Molecular Encodes.

Quantitative structure-activity relationships (QSAR) are introduced to predict acute oral toxicity (...

Machine-learned modeling of PM exposures in rural Lao PDR.

This study presents a machine-learning-enhanced method of modeling PM personal exposures in a data-s...

Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment.

Recycling of industrial wastewater meeting quality standards for agricultural and industrial demands...

Machine Learning Approach to find the relation between Endometriosis, benign breast disease, cystitis and non-toxic goiter.

The exact mechanism of endometriosis is unknown. The recommendation system (RS) based on item simila...

Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

This study focuses on identifying environmental health risk factors related to acute respiratory dis...

In silico prediction of chemical reproductive toxicity using machine learning.

Reproductive toxicity is an important regulatory endpoint in health hazard assessment. Because the i...

Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space.

Acute toxicity is one of the most challenging properties to predict purely with computational method...

Aflatoxin B Degradation and Detoxification by CG1061 Isolated From Chicken Cecum.

Aflatoxin B (AFB) is one of the most hazardous mycotoxins contamination in food and feed products, w...

Computational prediction of diagnosis and feature selection on mesothelioma patient health records.

BACKGROUND: Mesothelioma is a lung cancer that kills thousands of people worldwide annually, especia...

Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

Performing quality control to detect image artifacts and data-processing errors is crucial in struct...

Focus on automating care may lead us astray.

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.

Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workfl...

generation test: A new methodology with a Brazilian endemic insect.

This paper presents a new ecotoxicological test to investigate the response of a Brazilian endemic i...

Long short-term memory - Fully connected (LSTM-FC) neural network for PM concentration prediction.

People have been suffering from air pollution for a decade in China, especially from PM (particulate...