Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Platform for Healthcare Promotion and Cardiovascular Disease Prevention.

This article presents the hardware-software design and implementation of an open, integrated, and sc...

Anomaly Detection in Videos Using Two-Stream Autoencoder with Post Hoc Interpretability.

The growing interest in deep learning approaches to video surveillance raises concerns about the acc...

Spatiotemporal modeling of land subsidence using a geographically weighted deep learning method based on PS-InSAR.

The demand for water resources during urbanization forces the continuous exploitation of groundwater...

Disruptive innovations in the clinical laboratory: catching the wave of precision diagnostics.

Disruptive innovation is an invention that disrupts an existing market and creates a new one by prov...

Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets.

COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective...

Symbiotic Design Application in Healthcare: Preventing Hospital Acquired Infections.

Any clinical decision support (CDS) design project integrating computational technologies with clini...

Collaborative driving style classification method enabled by majority voting ensemble learning for enhancing classification performance.

The classification of driving styles plays a fundamental role in evaluating drivers' driving behavio...

Analysis of DNA Sequence Classification Using CNN and Hybrid Models.

In a general computational context for biomedical data analysis, DNA sequence classification is a cr...

Flexible Photodriven Actuator Based on Gradient-Paraffin-Wax-Filled TiCT MXene Film for Bionic Robots.

Due to their high flexibility and adaptability, bionic robots have great potential in applications s...

The predictive skill of convolutional neural networks models for disease forecasting.

In this paper we investigate the utility of one-dimensional convolutional neural network (CNN) model...

EagleEye: A Worldwide Disease-Related Topic Extraction System Using a Deep Learning Based Ranking Algorithm and Internet-Sourced Data.

Due to the prevalence of globalization and the surge in people's traffic, diseases are spreading mor...

Machine learning to advance the prediction, prevention and treatment of eating disorders.

Machine learning approaches are just emerging in eating disorders research. Promising early results ...

Exploring Feasibility of Multivariate Deep Learning Models in Predicting COVID-19 Epidemic.

Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in cur...

Surveillance of ship emissions and fuel sulfur content based on imaging detection and multi-task deep learning.

Shipping makes up the major proportion of global transportation and results in an increasing emissio...

From everyday life predictions to suicide prevention: Clinical and ethical considerations in suicide predictive analytic tools.

Advances in artificial intelligence and machine learning have fueled growing interest in the applica...

Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread.

Effective strategies to restrain COVID-19 pandemic need high attention to mitigate negatively impact...

An Updated Review of Computer-Aided Drug Design and Its Application to COVID-19.

The recent outbreak of the deadly coronavirus disease 19 (COVID-19) pandemic poses serious health co...

Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection.

The COVID-19 outbreak has resulted in a global pandemic and led to more than a million deaths to dat...

NDDRF: A risk factor knowledgebase for personalized prevention of neurodegenerative diseases.

INTRODUCTION: Neurodegenerative diseases (NDDs) are a series of chronic diseases, which are associat...

[Artificial Intelligence in epidemiology].

Artificial Intelligence can be leveraged to analyze great amounts of data. It can be used on images ...

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