AIMC Topic: Social Media

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Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking.

Journal of medical Internet research Jul 8, 2019
BACKGROUND: Hookah tobacco smoking (HTS) is a particularly important issue for public health professionals to address owing to its prevalence and deleterious health effects. Social media sites can be a valuable tool for public health officials to con...
Humans Machine Learning Health Promotion Social Media Smoking Water Pipes Prospective Studies Public Health
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A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study.

Journal of medical Internet research Jun 15, 2019
BACKGROUND: Social media use is now ubiquitous, but the growth in social media communications has also made it a convenient digital platform for drug dealers selling controlled substances, opioids, and other illicit drugs. Previous studies and news i...
Humans Machine Learning Analgesics, Opioid Illicit Drugs Social Media Substance-Related Disorders
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Sentiment Analysis of Social Media on Childhood Vaccination: Development of an Ontology.

Journal of medical Internet research Jun 7, 2019
BACKGROUND: Although vaccination rates are above the threshold for herd immunity in South Korea, a growing number of parents have expressed concerns about the safety of vaccines. It is important to understand these concerns so that we can maintain hi...
Humans Social Media Biological Ontologies Child Vaccination Infant Child, Preschool
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Update on the Urology Tag Ontology: Standardized Hashtags for Social Media in Urology.

European urology Jun 1, 2019
Social Media Humans Biological Ontologies Terminology as Topic Urology
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Do no harm: Natural language processing of social media supports safety of aseptic allergen immunotherapy procedures.

The Journal of allergy and clinical immunology May 17, 2019
Allergens Desensitization, Immunologic Social Media Natural Language Processing
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A distant supervision based approach to medical persona classification.

Journal of biomedical informatics May 11, 2019
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilance and patient recruitment. Medical persona classification aims to computationally model the medical persona associated with a social media post. We p...
Social Media Pharmacovigilance Humans Neural Networks, Computer Health Personnel Deep Learning
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Proactive Suicide Prevention Online (PSPO): Machine Identification and Crisis Management for Chinese Social Media Users With Suicidal Thoughts and Behaviors.

Journal of medical Internet research May 8, 2019
BACKGROUND: Suicide is a great public health challenge. Two hundred million people attempt suicide in China annually. Existing suicide prevention programs require the help-seeking initiative of suicidal individuals, but many of them have a low motiva...
Surveys and Questionnaires Suicide Prevention Social Media Asian People Suicidal Ideation Humans Female Machine Learning Male
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Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications.

Yearbook of medical informatics Apr 25, 2019
OBJECTIVE: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources. The objective of this paper is to identify c...
Telemedicine Medical Informatics Clinical Trials as Topic Community-Based Participatory Research Wearable Electronic Devices Social Media Humans Artificial Intelligence
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Machine Learning Methods to Predict Social Media Disaster Rumor Refuters.

International journal of environmental research and public health Apr 24, 2019
This research provides a general methodology for distinguishing disaster-related anti-rumor spreaders from a non-ignorant population base, with strong connections in their social circle. Several important influencing factors are examined and illustra...
Humans Support Vector Machine Social Media Disasters Machine Learning Logistic Models
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Regional level influenza study based on Twitter and machine learning method.

PloS one Apr 23, 2019
The significance of flu prediction is that the appropriate preventive and control measures can be taken by relevant departments after assessing predicted data; thus, morbidity and mortality can be reduced. In this paper, three flu prediction models, ...
Centers for Disease Control and Prevention, U.S. Social Media Influenza, Human Vaccination Support Vector Machine Forecasting United States Humans Models, Statistical Disease Outbreaks Data Analysis
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