9783030670535 - intelligent healthcare: applications of ai in ehealth (eai/springer innovations in communication and computing) (4 Ergebnisse)

Sprache: Englisch
Verlag: Springer, 2022
Serie: Buch 70 von 129 - EAI/Springer Innovations in Communication and Computing
- Softcover
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Sprache: Englisch
Verlag: Springer, 2022
Serie: Buch 70 von 129 - EAI/Springer Innovations in Communication and Computing
- Softcover
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Taschenbuch. Zustand: Neu. Intelligent Healthcare | Applications of AI in eHealth | Surbhi Bhatia (u. a.) | Taschenbuch | EAI/Springer Innovations in Communication and Computing | xii | Englisch | 2022 | Springer | EAN 9783030670535 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, j…uergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Sprache: Englisch
Verlag: Springer, 2022
Serie: Buch 70 von 129 - EAI/Springer Innovations in Communication and Computing
- Softcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 336 | Sprache: Englisch | Produktart: Bücher | This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the futu…re of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniquesand deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

Sprache: Englisch
Verlag: Springer, 2022
Serie: Buch 70 von 129 - EAI/Springer Innovations in Communication and Computing
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intellig…ent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniquesand deploying novel technologies in intelligent healthcare services and applications.Describes the advances of computing methodologies for life and medical science data;Presents applications of artificial intelligence in healthcare along with case studies and datasets;Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.