Screen LibraryText mining of web-based medical content /
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 l...
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| Corporate Authors: | |
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| Group Author: | |
| Published: |
De Gruyter,
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| Publisher Address: | Berlin/Boston : |
| Publication Dates: |
[2014] ©2014 |
| Literature type: | eBook |
| Language: | English |
| Series: |
Speech technology and text mining in medicine and health care
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| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1515/9781614513902 http://www.degruyter.com/doc/cover/9781614513902.jpg |
| 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 information. |
| Carrier Form: |
1 online resource(xxi,263pages) : illustrations. Also available in print edition. |
| ISBN: | 9781614513902 |
| Index Number: | R119 |
| CLC: | R-39 |
| Contents: |
Frontmatter -- Preface -- Contents -- List of authors -- 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 / 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 / 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 / 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. |