Public Health & Policy

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

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Electronic surveillance of patient safety events using natural language processing.

OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital...

Health Promotion, Health Literacy and Vaccine Hesitancy: The Role of Humanoid Robots.

The use of humanoid robot technologies within global healthcare settings is rapidly evolving; howeve...

Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.

BACKGROUND: With the use of artificial intelligence and machine learning techniques for biomedical i...

Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common wa...

[Let's open the black box: eXplainable Artificial Intelligence (XAI).].

The so-called "opacity" of artificial intelligence (AI), the black box model, raises concerns about ...

Clinical Artificial Intelligence Applications in Radiology: Neuro.

Radiologists have been at the forefront of the digitization process in medicine. Artificial intellig...

Regulation Modelling and Analysis Using Machine Learning During the Covid-19 Pandemic in Russia.

Due to the specific circumstances related to the COVID-19 pandemic, many countries have enforced eme...

Regularized Bayesian transfer learning for population-level etiological distributions.

Computer-coded verbal autopsy (CCVA) algorithms predict cause of death from high-dimensional family ...

Machine learning approaches improve risk stratification for secondary cardiovascular disease prevention in multiethnic patients.

OBJECTIVES: Identifying high-risk patients is crucial for effective cardiovascular disease (CVD) pre...

[Machine learning and its epidemiological applications].

As an important branch of artificial intelligence, machine learning is widely used in various fields...

Assessment of Automating Safety Surveillance From Electronic Health Records: Analysis for the Quality and Safety Review System.

BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event d...

Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.

The real-time monitoring of reductions of economic activity by containment measures and its effect o...

Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.

Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stro...

Robotic Antimicrobial Susceptibility Platform (RASP): a next-generation approach to One Health surveillance of antimicrobial resistance.

BACKGROUND: Surveillance of antimicrobial resistance (AMR) is critical to reducing its wide-reaching...

A novel reassortant avian influenza H4N6 virus isolated from an environmental sample during a surveillance in Maharashtra, India.

BACKGROUND & OBJECTIVES: Low pathogenic avian influenza (LPAI) viruses cause mild clinical illness i...

Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.

The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex...

Identifying HIV-related digital social influencers using an iterative deep learning approach.

OBJECTIVES: Community popular opinion leaders have played a critical role in HIV prevention interven...

Instability of Variable-selection Algorithms Used to Identify True Predictors of an Outcome in Intermediate-dimension Epidemiologic Studies.

BACKGROUND: Machine-learning algorithms are increasingly used in epidemiology to identify true predi...

Predicting Falls Among Community-Dwelling Older Adults: A Demonstration of Applied Machine Learning.

Data science skills are increasingly needed by informatics nurses and nurse scientists, but techniqu...

VIDHOP, viral host prediction with deep learning.

MOTIVATION: Zoonosis, the natural transmission of infections from animals to humans, is a far-reachi...

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