Includes Text Mining and Natural Language Processing Methods for extracting information from
electronic health records and biomedical literature. Analyzes text analytic tools for new media
such as online forums social media posts tweets and video sharing. Demonstrates how to use
speech and audio technologies for improving access to online content for the visually
impaired.Text Mining of Web-Based Medical Content examines various approaches to deriving high
quality information from online biomedical literature electronic health records query search
terms social media posts and tweets. Using some of the latest empirical methods of knowledge
extraction the authors show how online content generated by both professionals and laypersons
can be mined for valuable information about disease processes adverse drug reactions not
captured during clinical trials and tropical fever outbreaks. Additionally the authors show
how to perform infromation extraction on a hospital intranet how to build a social media
search engine to glean information about patients' own experiences interacting with healthcare
professionals and how to improve access to online health information. This volume provides a
wealth of timely material for health informatic professionals and machine learning data mining
and natural language researchers.Topics in this book include: Clinical Documents in Electronic
Health Records Summarization Techniques for Online Health Data Natural Language Processing for
Text Mining Query Expansion Techniques for Tweets Online Video Data Retrieval of Health-Related
Videos Dengue Fever Outbreaks Bioemergencies and Social Media Posts Speech-based Disease
Screening for Malaria Yellow Fever Typhoid and Lassa Fever Audio Access to Online Video Data
for the Visually Impaired
