Text Mining Web Based Medical (23 results)

Text Mining of Web-Based Medical Content: Speech Technology and Text Mining in Medicine and Health Care [Signed]
Ed. Amy Neustein. Contributors: Johan Gustav Bellika, Angel Bravo-Salgado, et al.
Language: English
Published by Boston and Berlin: Walter de Gruyter, Inc., 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
- Signed
Seller: James Payne, Books and Prints, New York City, NY, U.S.A.James Payne, Books and Prints
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Original price: US$ 87.50; 20% offCurrent price: US$ 70.00
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Hardcover. Condition: Good Plus. [TECHNOLOGY]. Ed. Amy Neustein. Contributors: Johan Gustav Bellika, Angel Bravo-Salgado, et al. "Text Mining of Web-Based Medical Content: Speech Technology and Text Mining in Medicine and Health Care [Signed]." Boston and Berlin: Walter de Gruyter, Inc., 2014. English language. Hardcover. Text w…ith charts and full-color illustrations. A collection of academic articles. Price in pencil on free front endpaper. Text clean. Faint tidelines at interior of back gutter. Good Plus. ISBN: 9781614515418. ISSN: 2329-5198. "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.". Signed.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
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US$ 87.87
US$ 18.20 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,500grams, ISBN:9781614515418.

Text Mining of Web-based Medical Content
Bellika, Johan (CON); Bravo-salgado, Angel (CON); Brezovan, Marius (CON); Burdescu, Dumitru Dan (CON); Chartree, Jedsada (CON)
Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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US$ 114.88
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Text Mining of Web-based Medical Content
Bellika, Johan (CON); Bravo-salgado, Angel (CON); Brezovan, Marius (CON); Burdescu, Dumitru Dan (CON); Chartree, Jedsada (CON)
Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contact seller5-star sellerCondition: Used - As new
US$ 114.89
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Condition: As New. Unread book in perfect condition.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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US$ 106.75
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Condition: New. In.

Text Mining of Web-based Medical Content
Bellika, Johan (CON); Bravo-salgado, Angel (CON); Brezovan, Marius (CON); Burdescu, Dumitru Dan (CON); Chartree, Jedsada (CON)
Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 105.95
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Condition: New.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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US$ 120.23
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Condition: new.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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US$ 105.96
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Text Mining of Web-based Medical Content
Bellika, Johan (CON); Bravo-salgado, Angel (CON); Brezovan, Marius (CON); Burdescu, Dumitru Dan (CON); Chartree, Jedsada (CON)
Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
Contact seller5-star sellerCondition: Used - As new
US$ 119.68
US$ 20.08 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Condition: As New. Unread book in perfect condition.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 131.23
US$ 8.70 shippingShips from United Kingdom to U.S.A.Quantity: 3 available
Condition: New.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 129.88
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Hardcover. Condition: Brand New. 284 pages. 9.60x6.50x1.10 inches. In Stock.

Language: English
Published by De Gruyter, US, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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US$ 154.23
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Hardback. Condition: New. . 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 tec…hnologies 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.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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US$ 154.81
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Condition: New.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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US$ 163.19
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Condition: New. 2014. Hardcover. . . . . .

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 118.15
US$ 71.75 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - - 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 sha…ring.- 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 ; - 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.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Buchpark, Trebbin, GermanyBuchpark
Contact seller5-star sellerCondition: Used - Fine
US$ 73.84
US$ 119.74 shippingShips from Germany to U.S.A.Quantity: 1 available
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 286 | Sprache: Englisch | Produktart: Bücher | • 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.

Language: English
Published by De Gruyter, US, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contact seller5-star sellerCondition: New
US$ 161.85
US$ 50.00 shippingShips within U.S.A.Quantity: Over 20 available
Hardback. Condition: New. . 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 tec…hnologies 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.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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US$ 195.63
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Condition: New. 2014. Hardcover. . . . . . Books ship from the US and Ireland.

Language: English
Published by de Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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US$ 108.33
US$ 9.05 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Language: English
Published by De Gruyter Sep 2014, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -- 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, twee…ts 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 ; - 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 286 pp. Englisch.

Language: English
Published by De Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
Contact seller5-star sellerCondition: New
US$ 125.03
US$ 26.54 shippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Text Mining of Web-Based Medical Content
Amy Neustein|Johan Bellika|Angel Bravosalgado|Marius Brezovan|Dumitru Dan Burdescu
Language: English
Published by Walter de Gruyter, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 95.33
US$ 55.87 shippingShips from Germany to U.S.A.Quantity: Over 20 available
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Includes Text Mining and Natural Lan.

Language: English
Published by De Gruyter, De Gruyter Sep 2014, 2014
Series: Speech Technology and Text Mining in Medicine and Health Care, Book 1 of 7. Book 1 of 7 - Speech Technology and Text Mining in Medicine and Health Care
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
Contact seller5-star sellerCondition: New
US$ 105.66
US$ 68.42 shippingShips from Germany to U.S.A.Quantity: 1 available
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware - 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 DescriptionsDe Gruyter Mouton, Genthiner Straße 13, 10785 Berlin 286 pp. Englisch.