Text Mining of Web-Based Medical Content / / ed. by Amy Neustein.

• Superior document: Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
• MitwirkendeR: Angel, Bravo-Salgado,; Armin, R. Mikler,; Bellika, Johan,; Bravo-Salgado, Angel,; Brezovan, Marius ,; Brezovan, Marius,; Burdescu, Dumitru Dan,; Chartree, Jedsada,; Cécile, Paris,; Denny, Joshua C.,; Dumitru, Dan Burdescu,; Enrique, Jose,; Ferreira, Liliana,; Ghazinour, Kambiz,; Hanlen, Leif,; Imambi, S. Sagar ,; Imambi, S. Sagar,; Jimenez, Tamara,; Johan, Gustav Bellika,; Joshua, C. Denny,; Karlsen, Randi,; Keith, M. Williams,; Matwin, Stan,; Mikler, Armin R.,; Morell, Borrás,; Morell, Jose Enrique Borras,; Moses, Oyelami Olufemi,; Neustein, Amy,; Oyelami, Olufemi,; Paris, Cecile,; Rodrigues, Mario,; Rodrigues, Mário,; Salcedo, Vicente,; Sokolova, Marina,; Stanescu, Liana,; Suominen, Hanna,; Teixeira, António Joaquim S.,; Teixeira, António,; Vicente, Traver Salcedo,; Williams, Keith M.,; Xu, Hua,
• HerausgeberIn: Neustein, Amy,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2014]; ©2014
• Year of Publication: 2014
• Language: English
• Series: Speech Technology and Text Mining in Medicine and Health Care , 1
• Physical Description: 1 online resource (263 p.)

• 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 aud...

Table of Contents

• Frontmatter
• Preface
• Contents
• List of authors
• Part I. Methods and techniques for mining biomedical literature and electronic health records
• 1. Application of text mining to biomedical knowledge extraction: analyzing clinical narratives and medical literature
• 2. Unlocking information in electronic health records using natural language processing: a case study in medication information extraction
• 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
• Part II. Machine Learning Techniques for Mining Medical Search Queries and Health-Related Social Media Posts and Tweets
• 4. Predicting dengue incidence in Thailand from online search queries that include weather and climatic variables
• 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
• 6. Twitter for health – building a social media search engine to better understand and curate laypersons’ personal experiences
• Part III. Using speech and audio technologies for improving access to online content for the computer-illiterate and the visually impaired
• 7. An empirical study of user satisfaction with a health dialogue system designed for the Nigerian low-literate, computer-illiterate, and visually impaired
• 8. DVX – the descriptive video exchange project: using crowd-based audio clips to improve online video access for the blind and the visually impaired
• Part IV. Visual data: new methods and approaches to mining radiographic image data and video metadata
• 9. Information extraction from medical images: evaluating a novel automatic image annotation system using semantic-based visual information retrieval
• 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
• Editor’s biography