Text Mining of Web-Based Medical Content / (Record no. 84567)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 14003nam a22014295i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9781614513902 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730161842.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230228t20142014gw fo d z eng d |
| 019 ## - | |
| -- | (OCoLC)960201781 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781614513902 |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | |
| 245 00 - TITLE STATEMENT | |
| Title | Text Mining of Web-Based Medical Content / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (263 p.) |
| 490 0# - SERIES STATEMENT | |
| Series statement | Speech Technology and Text Mining in Medicine and Health Care , |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | • 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:• Clinical Documents in Electronic Health Records• Summarization Techniques for Online Health Data• Natural Language Processing for Text Mining• Query Expansion Techniques for Tweets• Online Video Data Retrieval of Health-Related Videos• Dengue Fever Outbreaks• Bioemergencies and Social Media Posts• Speech-based Disease Screening for Malaria, Yellow Fever, Typhoid, and Lassa Fever• Audio Access to Online Video Data for the Visually Impaired |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | • 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 |
| 700 1# - AUTHOR 2 | |
| Author 2 | Angel, Bravo-Salgado, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Armin, R. Mikler, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bellika, Johan, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Bravo-Salgado, Angel, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Brezovan, Marius , |
| 700 1# - AUTHOR 2 | |
| Author 2 | Brezovan, Marius, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Burdescu, Dumitru Dan, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Chartree, Jedsada, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Cécile, Paris, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Denny, Joshua C., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Dumitru, Dan Burdescu, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Enrique, Jose, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Ferreira, Liliana, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Ghazinour, Kambiz, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Hanlen, Leif, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Imambi, S. Sagar , |
| 700 1# - AUTHOR 2 | |
| Author 2 | Imambi, S. Sagar, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Jimenez, Tamara, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Johan, Gustav Bellika, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Joshua, C. Denny, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Karlsen, Randi, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Keith, M. Williams, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Matwin, Stan, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Mikler, Armin R., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Morell, Borrás, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Morell, Jose Enrique Borras, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Moses, Oyelami Olufemi, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Neustein, Amy, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Neustein, Amy, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Oyelami, Olufemi, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Paris, Cecile, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Rodrigues, Mario, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Rodrigues, Mário, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Salcedo, Vicente, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Sokolova, Marina, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Stanescu, Liana, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Suominen, Hanna, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Teixeira, António Joaquim S., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Teixeira, António, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Vicente, Traver Salcedo, |
| 700 1# - AUTHOR 2 | |
| Author 2 | Williams, Keith M., |
| 700 1# - AUTHOR 2 | |
| Author 2 | Xu, Hua, |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1515/9781614513902 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/isbn/9781614513902 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://www.degruyter.com/document/cover/isbn/9781614513902/original |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin ; |
| -- | Boston : |
| -- | De Gruyter, |
| -- | [2014] |
| 264 #4 - | |
| -- | ©2014 |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 588 0# - | |
| -- | Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | data mining. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | elektrotechnik. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | maschinelles lernen. |
| 650 #4 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | sprachverarbeitung. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | COMPUTERS / Social Aspects / General. |
| 912 ## - | |
| -- | 978-3-11-023851-8 DGBA Backlist Physical Sciences 2000-2014 (EN) |
| -- | 2000 |
| -- | 2014 |
| 912 ## - | |
| -- | 978-3-11-023857-0 DGBA Backlist Complete English Language 2000-2014 PART1 |
| -- | 2000 |
| -- | 2014 |
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| -- | GBV-deGruyter-alles |
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| -- | ZDB-23-DGG |
| -- | 2014 |
| 912 ## - | |
| -- | ZDB-23-DIW |
| -- | 2014 |
| 912 ## - | |
| -- | ZDB-23-GPS |
| -- | 2000 |
| -- | 2014 |
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