Isbn: 9783030809300 - machine learning for critical internet of medical things: applications and use cases (16 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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  • Lingua: Inglese

    Editore: Springer, 2023

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  • Lingua: Inglese

    Editore: Springer, 2023

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  • Lingua: Inglese

    Editore: Springer, 2023

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    Lingua: Inglese

    Editore: Springer Nature Switzerland, 2023

    3030809307 / 9783030809300

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    Taschenbuch. Condizione: Neu. Machine Learning for Critical Internet of Medical Things | Applications and Use Cases | Anand Nayyar (u. a.) | Taschenbuch | x | Englisch | 2023 | Springer Nature Switzerland | EAN 9783030809300 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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    Condizione: Gut. Zustand: Gut | Seiten: 272 | Sprache: Englisch | Produktart: Bücher | This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician¿s and doctor¿s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas;Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer;Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.…

  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician's and doctor's medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas;Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer;Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.…

  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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    Condizione: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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    Paperback. Condizione: Brand New. 271 pages. 9.25x6.10x0.67 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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  • Lingua: Inglese

    Editore: Springer, 2023

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  • Lingua: Inglese

    Editore: Springer, Berlin|Springer International Publishing|Springer, 2023

    3030809307 / 9783030809300

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospit.…

  • Lingua: Inglese

    Editore: Springer International Publishing Feb 2023, 2023

    3030809307 / 9783030809300

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician's and doctor's medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas;Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer;Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications. 272 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer International Publishing, Springer Nature Switzerland Feb 2023, 2023

    3030809307 / 9783030809300

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician¿s and doctor¿s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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  • Lingua: Inglese

    Editore: Springer, 2023

    3030809307 / 9783030809300

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