Text mining web based medical (23 resultados)
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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.
Idioma: Inglés
Editorial: Boston and Berlin: Walter de Gruyter, Inc., 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: James Payne, Books and Prints, New York City, NY, Estados Unidos de AmericaJames Payne, Books and Prints
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EUR 63,27
Envío por EUR 4,83Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: 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.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Anybook.com, Lincoln, Reino UnidoAnybook.com
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EUR 76,91
Envío por EUR 15,94Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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)
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 103,18
Envío por EUR 2,32Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Condición: 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)
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 103,31
Envío por EUR 2,32Se envía dentro de Estados Unidos de AmericaCantidad disponible: 15 disponibles
Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 93,44
Envío por EUR 14,04Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: 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)
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 92,74
Envío por EUR 17,58Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 102,36
Envío por EUR 8,00Se envía de Italia a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: new.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 92,75
Envío por EUR 23,23Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Hardback. Condición: 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)
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 104,84
Envío por EUR 17,58Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 118,62
Envío por EUR 7,62Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 117,97
Envío por EUR 14,65Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Hardcover. Condición: Brand New. 284 pages. 9.60x6.50x1.10 inches. In Stock.
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Idioma: Inglés
Editorial: De Gruyter, US, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 139,41
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Hardback. Condición: 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.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 139,16
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Condición: New.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 138,93
Envío por EUR 9,50Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. 2014. Hardcover. . . . . .
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Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 100,58
Envío por EUR 62,92Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Buchpark, Trebbin, AlemaniaBuchpark
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EUR 62,86
Envío por EUR 105,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: 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.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 176,83
Envío por EUR 9,21Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. 2014. Hardcover. . . . . . Books ship from the US and Ireland.
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Idioma: Inglés
Editorial: De Gruyter, US, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 140,79
Envío por EUR 43,88Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Hardback. Condición: 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.
Idioma: Inglés
Editorial: de Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 94,83
Envío por EUR 7,92Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
HRD. Condición: 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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Idioma: Inglés
Editorial: De Gruyter Sep 2014, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 94,95
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: 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.
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Text Mining of Web-Based Medical Content
Amy Neustein|Johan Bellika|Angel Bravosalgado|Marius Brezovan|Dumitru Dan Burdescu
Idioma: Inglés
Editorial: Walter de Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: moluna, Greven, Alemaniamoluna
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EUR 81,16
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. - Includes Text Mining and Natural Lan.
Idioma: Inglés
Editorial: De Gruyter, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 109,44
Envío por EUR 23,23Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Idioma: Inglés
Editorial: De Gruyter, De Gruyter Sep 2014, 2014
Serie: Libro 1 de 7 - Speech Technology and Text Mining in Medicine and Health Care
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 89,95
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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.
