AIMC Topic: Social Media

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Learning about individuals' health from aggregate data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
There is growing awareness that user-generated social media content contains valuable health-related information and is more convenient to collect than typical health data. For example, Twitter has been employed to predict aggregate-level outcomes, s...
Humans Machine Learning Social Media Health Records, Personal Algorithms
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Identifying personal health experience tweets with deep neural networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2017
Twitter, as a social media platform, has become an increasingly useful data source for health surveillance studies, and personal health experiences shared on Twitter provide valuable information to the surveillance. Twitter data are known for their i...
Internet Neural Networks, Computer Social Media
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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Soc...
Humans Neural Networks, Computer Natural Language Processing Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Machine Learning Social Media
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Artificial intelligence: A social spin on language analysis.

Nature May 10, 2017
Neural Networks, Computer Machine Learning Software Humans Social Media Data Mining Crowdsourcing Language Support Vector Machine Verbal Behavior Bullying Agonistic Behavior Search Engine Uncertainty
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Using life's digital detritus to feed discovery.

The lancet. Psychiatry Mar 1, 2017
Early Diagnosis Machine Learning Psychiatry Mental Health Social Media Risk Factors Humans
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Toward Automating HIV Identification: Machine Learning for Rapid Identification of HIV-Related Social Media Data.

Journal of acquired immune deficiency syndromes (1999) Feb 1, 2017
INTRODUCTION: "Social big data" from technologies such as social media, wearable devices, and online searches continue to grow and can be used as tools for HIV research. Although researchers can uncover patterns and insights associated with HIV trend...
Risk-Taking Statistics as Topic Epidemiologic Methods Humans Machine Learning Time Factors HIV Infections Social Media
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Comparing the Human Papillomavirus Vaccination Opinions Trends from Different Twitter User Groups with a Machine Learning Based System and Semiparametric Nonlinear Regression.

Studies in health technology and informatics Jan 1, 2017
HPV vaccination refusal is a serious public health issue. Opinions on Twitter have are influential to potential consumers on vaccination behaviours. Public opinions toward HPV vaccination were extracted from Twitter by leveraging machine learning mod...
Vaccination Social Media Public Opinion Papillomavirus Vaccines Attitude Humans Papillomavirus Infections Machine Learning
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Extraction of actionable information from crowdsourced disaster data.

Journal of emergency management (Weston, Mass.) Jan 1, 2016
Natural disasters cause enormous damage to countries all over the world. To deal with these common problems, different activities are required for disaster management at each phase of the crisis. There are three groups of activities as follows: (1) m...
Support Vector Machine Social Media Internet Machine Learning Data Collection Humans Disasters Floods Thailand Crowdsourcing
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An Integrated Children Disease Prediction Tool within a Special Social Network.

Studies in health technology and informatics Jan 1, 2016
This paper proposes a social network with an integrated children disease prediction system developed by the use of the specially designed Children General Disease Ontology (CGDO). This ontology consists of children diseases and their relationship wit...
Software Diagnosis, Computer-Assisted Data Mining Decision Support Systems, Clinical Semantics Social Support Social Media Biological Ontologies Natural Language Processing Internet
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Advances in natural language processing.

Science (New York, N.Y.) Jul 17, 2015
Natural language processing employs computational techniques for the purpose of learning, understanding, and producing human language content. Early computational approaches to language research focused on automating the analysis of the linguistic st...
Data Mining Translating Social Media Natural Language Processing Humans
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