AIMC Topic: Social Media

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

AIDS (London, England) May 1, 2021
OBJECTIVES: Community popular opinion leaders have played a critical role in HIV prevention interventions. However, it is often difficult to identify these 'HIV influencers' who are qualified and willing to promote HIV campaigns, especially online, b...
HIV Infections United States Social Media Humans Deep Learning
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The risk of racial bias while tracking influenza-related content on social media using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: Machine learning is used to understand and track influenza-related content on social media. Because these systems are used at scale, they have the potential to adversely impact the people they are built to help. In this study, we explore t...
Influenza Vaccines Datasets as Topic Black or African American Support Vector Machine Social Media Influenza, Human Racism Humans Neural Networks, Computer Machine Learning
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Emergency department frequent user subgroups: Development of an empirical, theory-grounded definition using population health data and machine learning.

Families, systems & health : the journal of collaborative family healthcare Mar 1, 2021
Frequent emergency department (ED) use has been operationalized in research, clinical practice, and policy as number of visits to the ED, despite the fact that this definition lacks empirical evidence and theoretical foundation. To date, there are no...
Humans Machine Learning Cluster Analysis Florida Grounded Theory Population Health Management Social Media Emergency Service, Hospital Patient Acceptance of Health Care
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Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review.

BMJ health & care informatics Mar 1, 2021
OBJECTIVES: Unstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of t...
Bayes Theorem Feedback Patient Satisfaction Patient Outcome Assessment Social Media Natural Language Processing Humans Machine Learning Electronic Health Records
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Exploring the Influential Factors of Consumers' Willingness Toward Using COVID-19 Related Chatbots: An Empirical Study.

Medical archives (Sarajevo, Bosnia and Herzegovina) Feb 1, 2021
BACKGROUND: Consumers' willingness to use health chatbots can eventually determine if the adoption of health chatbots will succeed in delivering healthcare services for combating COVID-19. However, little research to date has empirically explored inf...
Consumer Behavior Social Perception Attitude to Health Social Media Humans Telemedicine Artificial Intelligence COVID-19 Adult Male Surveys and Questionnaires
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Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter.

The Lancet. Digital health Feb 1, 2021
Internet Use Hydroxychloroquine Quackery Humans Machine Learning Communication Social Media Unsupervised Machine Learning COVID-19 Drug Treatment
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The next-generation bots interfering with the US election.

Nature Nov 1, 2020
Artificial Intelligence Machine Learning COVID-19 Communication Public Health China Humans Data Science Russia United States Computer Security Social Media Politics
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Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter.

American journal of public health Oct 1, 2020
To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on Twitter. Using 1.8 million vaccine-relevant tweets compiled from 2014 to 2017, we adapted an existing...
Vaccines Anti-Vaccination Movement Humans Communication Social Media Machine Learning
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Leveraging artificial intelligence to monitor unhealthy food and brand marketing to children on digital media.

The Lancet. Child & adolescent health Jun 1, 2020
Child Health Promotion Marketing Humans Social Media Female Internet Artificial Intelligence Food Industry Male Diet Therapy Adolescent
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AI systems aim to sniff out coronavirus outbreaks.

Science (New York, N.Y.) May 22, 2020
Coronavirus Infections Data Mining Communicable Diseases, Emerging Pneumonia, Viral Pandemics Humans Artificial Intelligence COVID-19 Social Media
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