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 1849-1869 of 8,532 articles

Application of artificial neural networks to predict the COVID-19 outbreak.

BACKGROUND: Millions of people have been infected worldwide in the COVID-19 pandemic. In this study,...

Nov 2020 33292780

Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks.

BACKGROUND AND OBJECTIVE: The COVID-19 pandemic has caused severe mortality across the globe, with t...

Nov 2020 33816964

Mortality, predictors and causes among people with intellectual disabilities: A systematic narrative review supplemented by machine learning.

BACKGROUND: There is a need to systematically compare and contrast mortality predictors and disparit...

Nov 2020 39818550

A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases.

Respiratory diseases are currently considered to be amongst the most frequent causes of death and di...

Nov 2020 33233826

EventEpi-A natural language processing framework for event-based surveillance.

According to the World Health Organization (WHO), around 60% of all outbreaks are detected using inf...

Nov 2020 33216746

COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.

BACKGROUND: Creating an ontology for COVID-19 surveillance should help ensure transparency and consi...

Nov 2020 33112762

Methodological considerations in MVC epidemiological research.

BACKGROUND: The global burden of MVC injuries and deaths among vulnerable road users, has led to the...

Nov 2020 33199349

Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation: A Population-Based Study.

BACKGROUND: An artificial intelligence (AI) algorithm applied to electrocardiography during sinus rh...

Nov 2020 33185118

Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking.

BACKGROUND: The outbreak of the novel coronavirus disease COVID-19, caused by the SARS-CoV-2 virus h...

Nov 2020 33180803

Automatic detection of COVID-19 from chest radiographs using deep learning.

INTRODUCTION: The breakdown of a deadly infectious disease caused by a newly discovered coronavirus ...

Nov 2020 33223418

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.

BACKGROUND: COVID-19 is a scientifically and medically novel disease that is not fully understood be...

Nov 2020 33108310

Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes.

Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results ...

Nov 2020 33170109

Comparing machine learning with case-control models to identify confirmed dengue cases.

In recent decades, the global incidence of dengue has increased. Affected countries have responded w...

Nov 2020 33170848

The opportunities and challenges of machine learning in the acute care setting for precision prevention of posttraumatic stress sequelae.

Personalized medicine is among the most exciting innovations in recent clinical research, offering t...

Nov 2020 33157093

Public Health & Policy

Browse Categories

Application of artificial neural networks to predict the COVID-19 outbreak.

Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks.

Mortality, predictors and causes among people with intellectual disabilities: A systematic narrative review supplemented by machine learning.

A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases.

EventEpi-A natural language processing framework for event-based surveillance.

COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology.

Methodological considerations in MVC epidemiological research.

Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation: A Population-Based Study.

Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking.

Automatic detection of COVID-19 from chest radiographs using deep learning.

Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.

Closing the Digital Health Evidence Gap: Development of a Predictive Score to Maximize Patient Outcomes.

Comparing machine learning with case-control models to identify confirmed dengue cases.

The opportunities and challenges of machine learning in the acute care setting for precision prevention of posttraumatic stress sequelae.

Tree-Based Machine Learning to Identify and Understand Major Determinants for Stroke at the Neighborhood Level.

Measuring and Preventing COVID-19 Using the SIR Model and Machine Learning in Smart Health Care.

Yi Zeng: promoting good governance of artificial intelligence.

Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model.

Using Machine Learning to Predict Suicide Attempts in Military Personnel.

Artificial Intelligence, Big Data, and mHealth: The Frontiers of the Prevention of Violence Against Children.

Telerobotic ultrasound to provide obstetrical ultrasound services remotely during the COVID-19 pandemic.

Browse Categories