AIMC Topic: Social Media

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Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study.

Journal of medical Internet research Feb 24, 2020
BACKGROUND: Methylphenidate, a stimulant used to treat attention deficit hyperactivity disorder, has the potential to be used nonmedically, such as for studying and recreation. In an era when many people actively use social networking services, exper...
Methylphenidate Machine Learning Social Media Humans
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Monitoring stance towards vaccination in twitter messages.

BMC medical informatics and decision making Feb 18, 2020
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of messages on social media, of...
Machine Learning ROC Curve Humans Social Media Data Collection Vaccination Netherlands Support Vector Machine
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Multi-Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter.

Computational intelligence and neuroscience Jan 9, 2020
Sentimental analysis aims at inferring how people express their opinion over any piece of text or topic of interest. This article deals with detection of an implicit form of the sentiment, referred to as sarcasm. Sarcasm conveys the opposite of what ...
Social Media Natural Language Processing Algorithms Emotions Humans
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Comparative analysis on Facebook post interaction using DNN, ELM and LSTM.

PloS one Nov 12, 2019
This study presents a novel research approach to predict user interaction for social media post using machine learning algorithms. The posts are converted to vector form using word2vec and doc2vec model. These two methods are used to analyse the best...
Social Media Humans Machine Learning Neural Networks, Computer Algorithms
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Deep learning for pollen allergy surveillance from twitter in Australia.

BMC medical informatics and decision making Nov 8, 2019
BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media platform is used for data colle...
Rhinitis, Allergic, Seasonal Algorithms Social Media Humans Deep Learning Australia Weather
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Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study.

Journal of medical Internet research Nov 4, 2019
BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identifying and mitigating the spread of misinformation as it emerges.
Humans Social Media Vaccines Epidemiological Monitoring Machine Learning Retrospective Studies Social Networking
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Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.

JAMA network open Nov 1, 2019
IMPORTANCE: Automatic curation of consumer-generated, opioid-related social media big data may enable real-time monitoring of the opioid epidemic in the United States.
Pennsylvania Drug Overdose Electronic Data Processing Social Media Natural Language Processing Opioid-Related Disorders Spatial Analysis Machine Learning Cross-Sectional Studies Humans
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[Internal Medicine 3.0].

La Revue de medecine interne Oct 18, 2019
Social Media Humans Artificial Intelligence Telemedicine Genetics Big Data Self Care Inventions Smartphone Internal Medicine
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Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning.

International journal of environmental research and public health Oct 17, 2019
The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields. Currently...
Activities of Daily Living Human Activities Deep Learning Social Media Humans Neural Networks, Computer
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RedMed: Extending drug lexicons for social media applications.

Journal of biomedical informatics Oct 15, 2019
Social media has been identified as a promising potential source of information for pharmacovigilance. The adoption of social media data has been hindered by the massive and noisy nature of the data. Initial attempts to use social media data have rel...
Humans Social Media Pharmaceutical Preparations Data Mining Natural Language Processing Databases, Pharmaceutical Information Dissemination Pharmacovigilance
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