Infectious Disease

Public Health

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

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Ensemble machine learning of factors influencing COVID-19 across US counties.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) the causal agent for COVID-19, is a communicable disease spread through close contact. It is known to disproportionately impact certain communities due to both biological susceptibility and inequitable exposure. In this study, we investigate the most important health, social, and environmental factors impacting the early phases (before J...

Jun 3 2021 34083563

Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning.

In 2019, outbreaks of vaccine-preventable diseases reached the highest number in the US since 1992. Medical misinformation, such as antivaccine content propagating through social media, is associated with increases in vaccine delay and refusal. Our overall goal is to develop an automatic detector for antivaccine messages to counteract the negative impact that antivaccine messages have on the publi...

Jun 3 2021 33170786
Artificial Intelligence and Medical Internet of Things Framework for Diagnosis of Coronavirus Suspected Cases.

The world has been facing the COVID-19 pandemic since December 2019. Timely and efficient diagnosis of COVID-19 suspected patients plays a significant...

May 28 2021 34150188
Active Learning and the Potential of Neural Networks Accelerate Molecular Screening for the Design of a New Molecule Effective against SARS-CoV-2.

A global pandemic has emerged following the appearance of the new severe acute respiratory virus whose official name is the severe acute respiratory s...

May 25 2021 34124259
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis.

BACKGROUND: COVID-19 is one of the greatest threats to human beings in terms of health care, economy, and society in recent history. Up to this moment...

May 19 2021 33886492
Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach.

Effective and timely disease surveillance systems have the potential to help public health officials design interventions to mitigate the effects of d...

May 19 2021 34010293
Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed.

Rare diseases affect between 25 and 30 million people in the United States, and understanding their epidemiology is critical to focusing research effo...

May 17 2021 34457147
[Machine learning and suicide prevention: is an algorithm the solution?].

Suicide is inherently difficult to predict. Epidemiological research identified many general risk factors such as a depression, but these predictors h...

May 12 2021 34346616
Selecting a stable solid form of remdesivir using microcrystal electron diffraction and crystal structure prediction.

Therapeutic options in response to the coronavirus disease 2019 (COVID-19) outbreak are urgently needed. In this communication, we demonstrate how to ...

May 12 2021 35479679
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans.

The development of medical assisting tools based on artificial intelligence advances is essential in the global fight against COVID-19 outbreak and th...

May 7 2021 33961635
Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.

Digital data sources have become ubiquitous in modern culture in the era of digital technology but often tend to be under-researched because of restr...

May 5 2021 34026711
Overcoming Immunological Challenges Limiting Capsid-Mediated Gene Therapy With Machine Learning.

A key hurdle to making adeno-associated virus (AAV) capsid mediated gene therapy broadly beneficial to all patients is overcoming pre-existing and the...

Apr 27 2021 33986759
Comparative study of machine learning methods for COVID-19 transmission forecasting.

Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of...

Apr 26 2021 33915272
Inaccuracies in Google's Health-Based Knowledge Panels Perpetuate Widespread Misconceptions Involving Infectious Disease Transmission.

Google health-based Knowledge Panels were designed to provide users with high-quality basic medical information on a specific condition. However, any ...

Apr 26 2021 33901005
Adaptive Floor Cleaning Strategy by Human Density Surveillance Mapping with a Reconfigurable Multi-Purpose Service Robot.

Professional cleaning and safe social distance monitoring are often considered as demanding, time-consuming, repetitive, and labor-intensive tasks wit...

Apr 23 2021 33922638
The impact of age on pathological insignificant prostate cancer rates in contemporary robot-assisted prostatectomy patients despite active surveillance eligibility.

BACKGROUND: The aim of this study was to assess insignificant prostate cancer (iPCa) rates after robot-assisted radical prostatectomy (RARP) in contem...

Apr 22 2021 33887890
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review.

The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 2...

Apr 22 2021 33886097
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.

BACKGROUND: Iraq is among the countries affected by the COVID-19 pandemic. As of 2 August 2020, 129,151 COVID-19 cases were confirmed, including 91,94...

Apr 22 2021 33895377
Assessing the Outbreak Risk of Epidemics Using Fuzzy Evidential Reasoning.

Epidemic diseases (EDs) present a significant but challenging risk endangering public health, evidenced by the outbreak of COVID-19. Compared to other...

Apr 17 2021 33864640
An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos.

Video anomaly recognition in smart cities is an important computer vision task that plays a vital role in smart surveillance and public safety but is ...

Apr 16 2021 33923712
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