Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.

Journal: JAMA network open

PMID: 31693125

Abstract

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.

Authors

Abeed Sarker

Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA, United States.
Graciela Gonzalez-Hernandez

Health Language Processing Center, Institute for Biomedical Informatics at the Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Yucheng Ruan

School of Engineering and Applied Science, University of Pennsylvania, Philadelphia.
Jeanmarie Perrone

Department of Emergency Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Keywords

Cross-Sectional Studies Drug Overdose Electronic Data Processing Humans Machine Learning Natural Language Processing Opioid-Related Disorders Pennsylvania Social Media Spatial Analysis

External Resources

View on PubMed Access via DOI PubMed (31693125)

Machine Learning and Natural Language Processing for Geolocation-Centric Monitoring and Characterization of Opioid-Related Social Media Chatter.

Abstract

Authors

Keywords

External Resources

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