Isbn: 9781032489285 - internet of things-based machine learning in healthcare: technology and applications (13 resultados)

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  • Idioma: Inglés

    Editorial: Chapman and Hall/CRC, 2026

    1032489286 / 9781032489285

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    Editorial: Chapman and Hall/CRC, 2026

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    Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices

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  • Idioma: Inglés

    Editorial: Chapman and Hall/CRC, 2026

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    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

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    Editorial: Candh CRC Press, 2026

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  • Idioma: Inglés

    Editorial: Candh CRC Press, 2026

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    Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK

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    PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

  • Idioma: Inglés

    Editorial: Chapman and Hall/CRC, 2026

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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  • Idioma: Inglés

    Editorial: Chapman and Hall/CRC, 2026

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    Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK

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  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, 2026

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    Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books

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    Paperback. Condición: Brand New. 226 pages. 6.14x0.51x9.21 inches. In Stock.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd (Sales) Mai 2026, 2026

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    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Taschenbuch. Condición: Neu. Neuware - The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. - Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records - Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems - Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services - Discusses unsupervised genetic algorithm-based automatic heart disease prediction - Covers Internet of Things-based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.…

  • Idioma: Inglés

    Editorial: CRC Press, 2026

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: New. Dr Prasenjit Dey received his B.Tech. degree in computer science and engineering from the West Bengal University of Technology, Kolkata, India, in 2010, and the M.Tech. degree in computer science and engineering from the National Institute of Tech.

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, 2026

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    Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail

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    Paperback. Condición: new. Paperback. The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems.Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health recordsFocuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systemsShowcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare servicesDiscusses unsupervised genetic algorithm-based automatic heart disease predictionCovers Internet of Thingsbased hardware mechanisms and machine learning algorithms to predict the stress level of patientsThe text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology. Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., accelerometer, electrocardiography, and electroencephalography. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, 2026

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    Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller

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    Paperback. Condición: new. Paperback. The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems.Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health recordsFocuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systemsShowcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare servicesDiscusses unsupervised genetic algorithm-based automatic heart disease predictionCovers Internet of Thingsbased hardware mechanisms and machine learning algorithms to predict the stress level of patientsThe text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology. Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., accelerometer, electrocardiography, and electroencephalography. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Idioma: Inglés

    Editorial: Taylor & Francis Ltd, 2026

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    Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail

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    Paperback. Condición: new. Paperback. The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems.Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health recordsFocuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systemsShowcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare servicesDiscusses unsupervised genetic algorithm-based automatic heart disease predictionCovers Internet of Thingsbased hardware mechanisms and machine learning algorithms to predict the stress level of patientsThe text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology. Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., accelerometer, electrocardiography, and electroencephalography. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…