Cantitate/Preț
Produs
Total produse
Vezi coșul
Text Mining of Web-Based Medical Content de Amy Neustein

Text Mining of Web-Based Medical Content: Speech Technology and Text Mining in Medicine and Healthcare

Editat de Amy Neustein
en Electronic book text – 8 oct 2014
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.
Citește tot Restrânge

Din seria Speech Technology and Text Mining in Medicine and Healthcare

Preț: 43447 lei

Puncte Express: 652

Indisponibil temporar


Wish list
Gift list
Adaugă în listă
Doresc să fiu notificat când acest titlu va fi disponibil:
Trimite

Specificații

ISBN-13: 9781614513902
ISBN-10: 1614513902
Pagini: 284
Ediția:
Editura: De Gruyter
Seria Speech Technology and Text Mining in Medicine and Healthcare

Locul publicării:Berlin/Boston

Notă biografică

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

Cuprins

AD>Preface I.Overview
1.The Social Impact of Medical Social Media on the Healthcare Delivery System
2.Demographics and Medical Social Media: What Can We Learn about Various Populations?
3.Differentiating Among Different Social Platforms for Sharing Medical Social Media
II.Mining Methods
4.What Are the Distinguishing Linguistic Characteristics of Medical Social Media Postings that Pose Difficulties for Data Mining
5.Comparing Existing Data Extraction Methods for Mining Medical Content on the Web
6.New Data Mapping Tools for Mining Medical Social Media
III.Future Projections
7.Where is Social Medicine Headed in Next 5-10 Years?
8.The Domino Effect of Improved Data Extraction Methods for Medical Social Media on other Forms of Social Media