Text Mining of Web-Based Medical Content

Published by De Gruyter 2014

Text Mining of Web-Based Medical Content

With contributions by: Johan Gustav Bellika, Angel Bravo-Salgado, Marius Brezovan, Dumitru Dan Burdescu, Jedsada Chartree, Joshua C. Denny, Liliana Ferreira, Kambiz Ghazinour, Leif Hanlen, S. Sagar Imambi, Tamara Jimenez, Randi Karlsen, Stan Matwin, Armin R. Mikler, Jose Enrique Borras Morell, Oyelami Olufemi Moses, Cecile Paris, Mario Rodrigues, Vicente Traver Salcedo, Marina Sokolova, Liana Stanescu, Hanna Suominen, António Joaquim S. Teixeira, Keith M. Williams and Hua Xu
Edited by: Amy Neustein

Volume 1 in the series Speech Technology and Text Mining in Medicine and Health Care

https://doi.org/10.1515/9781614513902

Overview
Contents

About this book

•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

Focus on data extraction methods for mining biomedical literature, electronic health records, and social media including online forums, query search terms, video sharing and tweets.

Author information

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

Supplementary Materials

Topics

Frontmatter Publicly Available Download PDF	i
Preface Requires Authentication Unlicensed Licensed Download PDF	v
Contents Publicly Available Download PDF	xi
List of authors Requires Authentication Unlicensed Licensed Download PDF	xix
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 Amy Neustein, S. Sagar Imambi, Mário Rodrigues, António Teixeira and Liliana Ferreira Requires Authentication Unlicensed Licensed Download PDF	3
2. Unlocking information in electronic health records using natural language processing: a case study in medication information extraction Hua Xu and C. Denny Joshua Requires Authentication Unlicensed Licensed Download PDF	33
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 António Teixeira, Liliana Ferreira and Mário Rodrigues Requires Authentication Unlicensed Licensed Download PDF	49
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 Jedsada Chartree, Bravo-Salgado Angel, Tamara Jimenez and R. Mikler Armin Requires Authentication Unlicensed Licensed Download PDF	77
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 Kambiz Ghazinour, Marina Sokolova and Stan Matwin Requires Authentication Unlicensed Licensed Download PDF	107
6. Twitter for health – building a social media search engine to better understand and curate laypersons’ personal experiences Hanna Suominen, Leif Hanlen and Paris Cécile Requires Authentication Unlicensed Licensed Download PDF	133
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 Olufemi Oyelami Requires Authentication Unlicensed Licensed Download PDF	177
8. DVX – the descriptive video exchange project: using crowd-based audio clips to improve online video access for the blind and the visually impaired M. Williams Keith Requires Authentication Unlicensed Licensed Download PDF	191
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 Dan Burdescu Dumitru, Liana Stanescu and Marius Brezovan Requires Authentication Unlicensed Licensed Download PDF	209
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 Randi Karlsen, Jose Enrique, Borrás Morell, Gustav Bellika Johan and Traver Salcedo Vicente Requires Authentication Unlicensed Licensed Download PDF	241
Editor’s biography Requires Authentication Unlicensed Licensed Download PDF	263

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Speech technology developers, natural language researchers, medical technologists, and surgeons.
Pages
- Front matter: 21
- Main content: 263
Illustrations
- Illustrations: 100
- Coloured Illustrations: 20
Keywords: Speech Processing; Electronic Health Records; Summarization Techniques; Health Mapping Tools; Relationship Extraction Techniques; Health-Related Videos; Speech-Enabled Web Content.

eBook

Published: October 9, 2014
ISBN: 9781614513902

Hardcover

Published: September 16, 2014
ISBN: 9781614515418

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Text Mining of Web-Based Medical Content