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Text mining of web-based medical content

Author: Amy Neustein
Publisher: Berlin : Boston : De Gruyter, [2014] ©2014
Series: Speech technology and text mining in medicine and healthcare, v. 1.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Electronic book
Additional Physical Format: Print version:
Text mining of web-based medical content.
Berlin : Boston, [2014]
xviii, 262 pages ; 26 cm.
(DNLM)101637792
(DLC) 11006189
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Amy Neustein
ISBN: 9781614513902 1614513902 1614515417 9781614515418 9781614513919 1614513910 9781614519768 1614519765
OCLC Number: 960201781
Notes: Electronic version available.
Restrictions on access to electronic version: access available to SOAS staff and students only, using SOAS id and password.
Description: 1 online resource (285 pages) : illustrations (some color).
Contents: Frontmatter --
Preface --
Contents --
List of authors --
1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature / Neustein, Amy ; Imambi, S. Sagar ; Rodrigues, Mário ; Teixeira, António ; Ferreira, Liliana --
2. Unlocking information in electronic health records using natural language processing: a case study in medication information extraction / Xu, Hua ; Joshua, C. Denny --
3. Online health information semantic search and exploration: reporting on two prototypes for performing information extraction on both a hospital intranet and the world wide web / Teixeira, António ; Ferreira, Liliana ; Rodrigues, Mário --
4. Predicting dengue incidence in Thailand from online search queries that include weather and climatic variables / Chartree, Jedsada ; Angel, Bravo-Salgado ; Jimenez, Tamara ; Armin, R. Mikler --
5. A study of personal health information posted online: using machine learning to validate the importance of the terms detected by MedDRA and SNOMED in revealing health information in social media / Ghazinour, Kambiz ; Sokolova, Marina ; Matwin, Stan --
6. Twitter for health --
building a social media search engine to better understand and curate laypersons' personal experiences / Suominen, Hanna ; Hanlen, Leif ; Cécile, Paris --
7. An empirical study of user satisfaction with a health dialogue system designed for the Nigerian low-literate, computer-illiterate, and visually impaired / Oyelami, Olufemi --
8. DVX --
the descriptive video exchange project: using crowd-based audio clips to improve online video access for the blind and the visually impaired / Keith, M. Williams --
9. Information extraction from medical images: evaluating a novel automatic image annotation system using semantic-based visual information retrieval / Dumitru, Dan Burdescu ; Stanescu, Liana ; Brezovan, Marius --
10. Helping patients in performing online video search: evaluating the importance of medical terminology extracted from MeSH and ICD-10 in health video title and description / Karlsen, Randi ; Enrique, Jose ; Morell, Borrás ; Johan, Gustav Bellika ; Vicente, Traver Salcedo --
Editor's biography.
Series Title: Speech technology and text mining in medicine and healthcare, v. 1.
Responsibility: edited by Amy Neustein.
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Abstract:

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. Specific linguistic features of  Read more...

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