AIMC Topic: Social Media

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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...
Humans Machine Learning Electronic Health Records Bayes Theorem Patient Satisfaction Patient Outcome Assessment Feedback Social Media Natural Language Processing
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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...
Humans Male Surveys and Questionnaires Social Media Artificial Intelligence COVID-19 Adult Social Perception Attitude to Health Telemedicine Consumer Behavior
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Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter.

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

Nature Nov 1, 2020
Computer Security Politics Social Media Russia COVID-19 Communication Public Health China Data Science United States Humans Artificial Intelligence Machine Learning
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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 Machine Learning Humans Communication Social Media
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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
Humans Artificial Intelligence Female Male Adolescent Diet Therapy Marketing Social Media Internet Child Food Industry Health Promotion
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AI systems aim to sniff out coronavirus outbreaks.

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

Nature Mar 1, 2020
Psychology Surveys and Questionnaires Social Media Robotics
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Editorial Comment: Does YouTube include high-quality resources for training on laparoscopic and robotic radical prostatectomy?

International braz j urol : official journal of the Brazilian Society of Urology Jan 1, 2020
Male Social Media Robotics Humans Laparoscopy Robotic Surgical Procedures Prostatectomy
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Deep neural networks ensemble for detecting medication mentions in tweets.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Twitter posts are now recognized as an important source of patient-generated data, providing unique insights into population health. A fundamental step toward incorporating Twitter data in pharmacoepidemiologic research is to automatically...
Pharmaceutical Preparations Pharmacovigilance Deep Learning Humans Social Media Neural Networks, Computer Natural Language Processing
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