Title :
How Social Media Will Change Public Health
Author_Institution :
Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
Recent work in machine learning and natural language processing has studied the health content of tweets and demonstrated the potential for extracting useful public health information from their aggregation. This article examines the types of health topics discussed on Twitter, and how tweets can both augment existing public health capabilities and enable new ones. The author also discusses key challenges that researchers must address to deliver high-quality tools to the public health community.
Keywords :
health care; learning (artificial intelligence); medical information systems; natural language processing; social networking (online); Twitter; health content; health topics; high-quality tools; machine learning; natural language processing; public health capabilities; public health community; public health information extraction; social media; tweets; Media; Medical information processing; Medical services; Public healthcare; Social network services; Sociology; Twitter; health; machine learning; natural language processing; social media; twitter;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2012.76
