Text Mining of Web-Based Medical Content

by Amy Neustein (Editor), Johan Bellika (Contribution by), Angel Bravo-Salgado (Contribution by), Marius Brezovan (Contribution by), Dumitru Dan Burdescu (Contribution by), Jedsada Chartree (Contribution by), Joshua C. Denny (Contribution by), Liliana Ferreira (Contribution by), Kambiz Ghazinour (Contribution by), Leif Hanlen (Contribution by), S. Sagar Imambi (Contribution by), Tamara Jimenez (Contribution by), Randi Karlsen (Contribution by), Stan Matwin (Contribution by), Armin R. Mikler (Contribution by), Jose Enrique Borras Morell (Contribution by), Oyelami Olufemi Moses (Contribution by), Cecile Paris (Contribution by), Mario Rodrigues (Contribution by), Vicente Salcedo (Contribution by), Marina Sokolova (Contribution by), Liana Stanescu (Contribution by), Hanna Suominen (Contribution by), Ant#x000F3;nio Joaquim S. Teixeira (Contribution by), Keith M. Williams (Contribution by), Hua Xu (Contribution by)

Overview

Text Mining of Web-Based Medical Content examines web mining for extracting useful information that can be used for treating and monitoring the healthcare of patients. This work provides methodological approaches to designing mapping tools that exploit data found in social media postings. Specific linguistic features of medical postings are analyzed vis-a-vis available data extraction tools for culling useful information.

Product Details

ISBN-13:	9781614519768
Publisher:	De Gruyter
Publication date:	10/09/2014
Series:	Speech Technology and Text Mining in Medicine and Health Care
Sold by:	Barnes & Noble
Format:	eBook
Pages:	284
File size:	4 MB
Age Range:	18 Years

About the Author

Amy Neustein, Founder and CTO, Linguistic Technology Systems, Fort Lee, NJ, USA.