Text Mining of Web-Based Medical Content (Hardcover)

* 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: * Mining Biomedical Literature and Clinical Narratives * Medication Information Extraction * Machine Learning Techniques for Mining Medical Search Queries * Detecting the Level of Personal Health Information Revealed in Social Media * Curating Layperson's Personal Experiences with Health Care from Social Media and Twitter * Health Dialogue Systems for Improving Access to Online Content * Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired * Semantic-based Visual Information Retrieval for Mining Radiographic Image Data * Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions

General

Imprint:	De Gruyter
Country of origin:	United States
Series:	Speech Technology and Text Mining in Medicine and Health Care
Release date:	September 2014
First published:	2014
Editors:	Amy Neustein
Contributors:	Johan Bellika • Angel Bravo-Salgado • Marius Brezovan • Dumitru Dan Burdescu • Jedsada Chartree • Joshua C. Denny • Liliana Ferreira • Kambiz Ghazinour • Leif Hanlen
Dimensions:	230 x 155 x 23mm (L x W x T)
Format:	Hardcover
Pages:	284
ISBN-13:	978-1-61451-541-8
Categories:	Books > Language & Literature > Language & linguistics > Phonetics, phonology, prosody (speech) Books > Computing & IT > Social & legal aspects of computing > Impact of computing & IT on society Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	1-61451-541-7
Barcode:	9781614515418

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!