Text Mining of Web-Based Medical Content
Walter de Gruyter GmbH & Co KG, Oct 9, 2014 - Computers - 284 pages
•Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature.
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.
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Part II Machine learning techniques for mining medical search queries and healthrelated social media posts and tweets ...
Part III Using speech and audio technologies for improving access to online content for the computerilliterate and the visually impaired ...
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