Public Health & Policy

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

8,532 articles

Subcategories: Clinical Trials Environmental Health Ethics Health Policy Medicaid Medical Education Military Medicine Stem Cell Research US Health Policy Work Force

Showing 1702-1722 of 8,532 articles

Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19.

The COVID-19 pandemic has had a significant impact on public life and health worldwide, putting the ...

Aug 2021 34394338

Medical code prediction via capsule networks and ICD knowledge.

BACKGROUND: Clinical notes record the health status, clinical manifestations and other detailed info...

Jul 2021 34330264

Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial i...

Jul 2021 34334333

Explainable deep learning predictions for illness risk of mental disorders in Nanjing, China.

Epidemiological studies have revealed the associations of air pollutants and meteorological factors ...

Jul 2021 34329635

Platform for Healthcare Promotion and Cardiovascular Disease Prevention.

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

Jul 2021 33449888

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...

Jul 2021 34354745

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...

Jul 2021 34365261

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...

Jul 2021 34297653

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...

Jul 2021 34302024

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...

Jul 2021 34280214

Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study.

This epidemiological study aimed to develop an X-AI that could explain groups with a high anxiety di...

Jul 2021 34300076

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...

Jul 2021 34306171

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...

Jul 2021 34242349

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...

Jul 2021 34300403

Public Health & Policy

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Hybrid Deep-Learning and Machine-Learning Models for Predicting COVID-19.

Medical code prediction via capsule networks and ICD knowledge.

Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

Explainable deep learning predictions for illness risk of mental disorders in Nanjing, China.

Platform for Healthcare Promotion and Cardiovascular Disease Prevention.

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

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

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

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

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

Exploring Factors for Predicting Anxiety Disorders of the Elderly Living Alone in South Korea Using Interpretable Machine Learning: A Population-Based Study.

Analysis of DNA Sequence Classification Using CNN and Hybrid Models.

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

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

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

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

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

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

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

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

[Artificial Intelligence in epidemiology].

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