ABE-IPSABE HOLDINGABE BOOKS
English Polski
On-line access

Bookstore

0.00 PLN
Bookshelf (0) 
Your bookshelf is empty
Text Mining of Web-Based Medical Content

Text Mining of Web-Based Medical Content

Authors
Publisher De Gruyter
Year 09/10/2014
Edition First
Version eBook: Reflowable eTextbook (ePub)
Language English
ISBN 9781614519768
Categories Speaking / pronunciation skills, Electrical engineering, Computing & information technology, Health & safety aspects of computing
lifetime license
Product available online
Delivery: access code sent by e-mail
E-Mail
order with obligation to pay
Add to bookshelf

Book description

• 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

 

Text Mining of Web-Based Medical Content

We also recommend books

Strony www Białystok Warszawa
801 777 223