Public Health & Policy

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

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Patient journey through cases of depression from claims database using machine learning algorithms.

Health insurance and acute hospital-based claims have recently become available as real-world data a...

From predictions to prescriptions: A data-driven response to COVID-19.

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers ...

Performance and efficiency of machine learning algorithms for analyzing rectangular biomedical data.

Most biomedical datasets, including those of 'omics, population studies, and surveys, are rectangula...

Feasibility of machine learning methods for predicting hospital emergency room visits for respiratory diseases.

The prediction of hospital emergency room visits (ERV) for respiratory diseases after the outbreak o...

A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics.

BACKGROUND: Mathematical modeling of vector-borne diseases and forecasting of epidemics outbreak are...

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.

The recent outbreak of Coronavirus Disease 2019 (COVID-19) has led to urgent needs for reliable diag...

Learning Transferable Driven and Drone Assisted Sustainable and Robust Regional Disease Surveillance for Smart Healthcare.

Smart healthcare has been applied in many fields such as disease surveillance and telemedicine, etc....

Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil.

The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...

Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions.

With many successful stories, machine learning (ML) and deep learning (DL) have been widely used in ...

Associated factors of white matter hyperintensity volume: a machine-learning approach.

To identify the most important parameters associated with cerebral white matter hyperintensities (WM...

Accelerating Epidemiological Investigation Analysis by Using NLP and Knowledge Reasoning: A Case Study on COVID-19.

COVID-19 is threatening the health of the entire human population. In order to control the spread of...

Artificial Intelligence Decision Support for Medical Triage.

Applying state-of-the-art machine learning and natural language processing on approximately one mill...

Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm.

Estimation of the epidemiology curve for the COVID-19 pandemic can be a very computationally challen...

Toward Using Twitter for Tracking COVID-19: A Natural Language Processing Pipeline and Exploratory Data Set.

BACKGROUND: In the United States, the rapidly evolving COVID-19 outbreak, the shortage of available ...

Comparative Evaluation of the Treatment of COVID-19 with Multicriteria Decision-Making Techniques.

OBJECTIVES: The outbreak of coronavirus disease 2019 (COVID-19) was first reported in December 2019....

Improving Global Healthcare and Reducing Costs Using Second-Generation Artificial Intelligence-Based Digital Pills: A Market Disruptor.

Improving global health requires making current and future drugs more effective and affordable. Whi...

Automated processing of social media content for radiologists: applied deep learning to radiological content on twitter during COVID-19 pandemic.

PURPOSE: The purpose of this study was to develop an automated process to analyze multimedia content...

A comparison of the value of two machine learning predictive models to support bovine tuberculosis disease control in England.

Nearly a decade into Defra's current eradication strategy, bovine tuberculosis (bTB) remains a serio...

Fighting viruses with materials science: Prospects for antivirus surfaces, drug delivery systems and artificial intelligence.

OBJECTIVE: Viruses on environmental surfaces, in saliva and other body fluids represent risk of cont...

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