AIMC Topic: Social Media

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Information flow reveals prediction limits in online social activity.

Nature human behaviour Jan 21, 2019
Modern society depends on the flow of information over online social networks, and users of popular platforms generate substantial behavioural data about themselves and their social ties. However, it remains unclear what fundamental limits exist when...
Humans Social Behavior Information Theory Online Social Networking Machine Learning Language Social Media
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Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification.

Journal of medical Internet research Nov 21, 2018
BACKGROUND: Instagram, with millions of posts per day, can be used to inform public health surveillance targets and policies. However, current research relying on image-based data often relies on hand coding of images, which is time-consuming and cos...
Smoking Water Pipes Neural Networks, Computer Support Vector Machine Social Media Humans
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An unsupervised and customizable misspelling generator for mining noisy health-related text sources.

Journal of biomedical informatics Nov 13, 2018
BACKGROUND: Data collection and extraction from noisy text sources such as social media typically rely on keyword-based searching/listening. However, health-related terms are often misspelled in such noisy text sources due to their complex morphology...
Medical Informatics Algorithms Pattern Recognition, Automated Electronic Health Records Natural Language Processing Reproducibility of Results Data Mining Fuzzy Logic Data Collection Social Media
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Identifying substance use risk based on deep neural networks and Instagram social media data.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Oct 24, 2018
Social media may provide new insight into our understanding of substance use and addiction. In this study, we developed a deep-learning method to automatically classify individuals' risk for alcohol, tobacco, and drug use based on the content from th...
Humans Adult Social Media Substance-Related Disorders Alcoholism Sensitivity and Specificity Risk Assessment Deep Learning Risk-Taking
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Machine learning to support social media empowered patients in cancer care and cancer treatment decisions.

PloS one Oct 18, 2018
BACKGROUND: A primary variant of social media, online support groups (OSG) extend beyond the standard definition to incorporate a dimension of advice, support and guidance for patients. OSG are complementary, yet significant adjunct to patient journe...
Information Dissemination Patient Participation Self-Help Groups Social Media Prostatic Neoplasms Male Community Networks Internet Middle Aged Quality of Life Social Support Aged Humans Emotions Aged, 80 and over Machine Learning Decision Making Adult
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Should Artificial Intelligence Augment Medical Decision Making? The Case for an Autonomy Algorithm.

AMA journal of ethics Sep 1, 2018
A significant proportion of elderly and psychiatric patients do not have the capacity to make health care decisions. We suggest that machine learning technologies could be harnessed to integrate data mined from electronic health records (EHRs) and so...
Health Services for the Aged Personal Autonomy Informed Consent Data Mining Forecasting Mental Disorders Technology Electronic Health Records Decision Making Social Media Artificial Intelligence Machine Learning Algorithms Humans
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Advancing the State of the Art in Clinical Natural Language Processing through Shared Tasks.

Yearbook of medical informatics Aug 29, 2018
OBJECTIVES:  To review the latest scientific challenges organized in clinical Natural Language Processing (NLP) by highlighting the tasks, the most effective methodologies used, the data, and the sharing strategies.
Drug Labeling Electronic Health Records Social Media Natural Language Processing Confidentiality Adverse Drug Reaction Reporting Systems
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Artificial Intelligence and Radiology: A Social Media Perspective.

Current problems in diagnostic radiology Jul 23, 2018
OBJECTIVE: To use Twitter to characterize public perspectives regarding artificial intelligence (AI) and radiology.
Access to Information Quality Improvement United States Social Media Radiology Humans Artificial Intelligence
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Extracting psychiatric stressors for suicide from social media using deep learning.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: Suicide has been one of the leading causes of deaths in the United States. One major cause of suicide is psychiatric stressors. The detection of psychiatric stressors in an at risk population will facilitate the early prevention of suicid...
Deep Learning Suicide Prevention Stress, Psychological Social Media Humans Neural Networks, Computer Algorithms
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Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.

Journal of medical Internet research Jul 9, 2018
BACKGROUND: Timely understanding of public perceptions allows public health agencies to provide up-to-date responses to health crises such as infectious diseases outbreaks. Social media such as Twitter provide an unprecedented way for the prompt asse...
Humans Neural Networks, Computer Measles History, 21st Century Perception Reproducibility of Results Public Opinion Disease Outbreaks Social Media
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