Public Health & Policy

Environmental Health

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

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Implementation of data intelligence models coupled with ensemble machine learning for prediction of water quality index.

In recent decades, various conventional techniques have been formulated around the world to evaluate...

2020 ACR Presidential Address: Quality, Ownership, and Our Role as Physicians.

A story from long ago reminds us of the importance of quality in our practices, of taking ownership ...

Using the VQ-VAE to improve the recognition of abnormalities in short-duration 12-lead electrocardiogram records.

BACKGROUND AND OBJECTIVE: Morphological diagnosis is a basic clinical task of the short-duration 12-...

An ensemble learning based hybrid model and framework for air pollution forecasting.

As advance of economy and industry, the impact of air pollution has gradually gained attention. In o...

Inside pandora's box: a systematic review of the assessment of the perceived quality of chatbots for people with disabilities or special needs.

People with disabilities or special needs can benefit from AI-based conversational agents (i.e., ch...

Identification of Potential PBT/POP-Like Chemicals by a Deep Learning Approach Based on 2D Structural Features.

Identifying potential persistent organic pollutants (POPs) and persistent, bioaccumulative, and toxi...

Response surface methodology and artificial neural network for remediation of acid orange 7 using TiO-P25: optimization and modeling approach.

The primary responsibility for continuously discharging toxic organic pollutants into water bodies a...

Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has signific...

Bisphenol S is a haemodialysis-associated xenobiotic that is less toxic than bisphenol A.

BACKGROUND: Bisphenol S (BPS) is a structural analogue of bisphenol A (BPA) that is found in the env...

Privileged Scaffold Analysis of Natural Products with Deep Learning-based Indication Prediction Model.

Natural products play a vital role in the drug discovery and development process as an important sou...

Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks.

BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardi...

RadAtlas 1.0: a knowledgebase focusing on radiation-associated genes.

Ionizing radiation has very complex biological effects, such as inducing damage to DNA and proteins...

Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.

The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces ...

Identification of Risk Factors Associated with Obesity and Overweight-A Machine Learning Overview.

Social determining factors such as the adverse influence of globalization, supermarket growth, fast ...

Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network.

Atrial fibrillation (AF) is a cardiac arrhythmia which is characterized based on the irregsular beat...

Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.

BACKGROUND: Accumulating evidence has linked environmental exposure, such as ambient air pollution a...

Developing successful environmental decision support systems: Challenges and best practices.

Environmental decision support systems (EDSSs), or DSS applied in the environmental field, have been...

Automatic diagnosis of the 12-lead ECG using a deep neural network.

The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accura...

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