Isbn: 9786207455256 - deep learning in healthcare: innovations, applications & future aspect (6 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2024

    6207455258 / 9786207455256

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Taschenbuch. Condición: Neu. Deep Learning in Healthcare: Innovations, Applications & Future Aspect | Sima Das (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207455256 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2024

    6207455258 / 9786207455256

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Feb 2024, 2024

    6207455258 / 9786207455256

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    Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 244 pp. Englisch.

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing

    6207455258 / 9786207455256

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    Librería: moluna, Greven, Alemaniamoluna

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    Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The intersection of deep learning and healthcare has ushered in a new era of possibilities, transforming the landscape of medical research, diagnosis, and treatment. This comprehensive volume explores the innovative applications of deep learning in various .

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing Feb 2024, 2024

    6207455258 / 9786207455256

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    Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000

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    Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The intersection of deep learning and healthcare has ushered in a new era of possibilities, transforming the landscape of medical research, diagnosis, and treatment. This comprehensive volume explores the innovative applications of deep learning in various facets of healthcare, presenting a roadmap for the future of medical practice. The book begins by laying the foundation of deep learning principles and their adaptation to healthcare contexts. It delves into cutting-edge developments in medical imaging, showcasing how convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are revolutionizing the accuracy and efficiency of diagnostic processes. From early detection of diseases to personalized treatment plans, the impact of deep learning on patient care is examined with real-world case studies. Beyond diagnostics, the book explores the integration of deep learning into electronic health records (EHRs) and clinical decision support systems, highlighting the potential to enhance data-driven decision-making in healthcare settings.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 244 pp. Englisch.

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing

    6207455258 / 9786207455256

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

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    EUR 119,97

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    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The intersection of deep learning and healthcare has ushered in a new era of possibilities, transforming the landscape of medical research, diagnosis, and treatment. This comprehensive volume explores the innovative applications of deep learning in various facets of healthcare, presenting a roadmap for the future of medical practice. The book begins by laying the foundation of deep learning principles and their adaptation to healthcare contexts. It delves into cutting-edge developments in medical imaging, showcasing how convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are revolutionizing the accuracy and efficiency of diagnostic processes. From early detection of diseases to personalized treatment plans, the impact of deep learning on patient care is examined with real-world case studies. Beyond diagnostics, the book explores the integration of deep learning into electronic health records (EHRs) and clinical decision support systems, highlighting the potential to enhance data-driven decision-making in healthcare settings.