9781614515418 - text mining of web-based medical content: 1 (23 risultati)
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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.
Lingua: Inglese
Editore: Boston and Berlin: Walter de Gruyter, Inc., 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: James Payne, Books and Prints, New York City, NY, U.S.A.James Payne, Books and Prints
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EUR 63,38
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Hardcover. Condizione: 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…with 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.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Anybook.com, Lincoln, Regno UnitoAnybook.com
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EUR 76,87
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Condizione: 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.
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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)
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: New.
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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)
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
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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)
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 92,69
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Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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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)
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 104,79
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 118,82
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Condizione: New.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 117,91
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Hardcover. Condizione: Brand New. 284 pages. 9.60x6.50x1.10 inches. In Stock.
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Lingua: Inglese
Editore: De Gruyter, US, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condizione: 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 te…chnologies 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.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 139,39
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Condizione: New.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 138,93
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Condizione: New. 2014. Hardcover. . . . . .
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Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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 sh…aring.- 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.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: 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, socia…l 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.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2014. Hardcover. . . . . . Books ship from the US and Ireland.
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Lingua: Inglese
Editore: De Gruyter, US, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
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Hardback. Condizione: 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 te…chnologies 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.
Lingua: Inglese
Editore: de Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Lingua: Inglese
Editore: De Gruyter Sep 2014, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: 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, twe…ets 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.
Lingua: Inglese
Editore: De Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Text Mining of Web-Based Medical Content
Amy Neustein|Johan Bellika|Angel Bravosalgado|Marius Brezovan|Dumitru Dan Burdescu
Lingua: Inglese
Editore: Walter de Gruyter, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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- Print on Demand
Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Includes Text Mining and Natural Lan.
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Lingua: Inglese
Editore: De Gruyter, De Gruyter Sep 2014, 2014
Serie: Libro 1 di 7 - Speech Technology and Text Mining in Medicine and Health Care
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 89,95
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Buch. Condizione: 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 an…d 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.
