ISBN: 9789811920561 - prognostic models in healthcare: ai and statistical approaches (studies in big data, 109, band 109) (2 Ergebnisse)

ISBN: 
Mit der Detailsuche verfeinern

Optimieren Sie Ihre Suche

  • Bücher (2)

  • Neu (2)

bis

Benutzerdefinierte Preisspanne (EUR)

bis

  • Sprache: Englisch

    Verlag: Springer, 2022

    9811920567 / 9789811920561

    Serie: Buch 95 von 95 - Studies in Big Data

    • Hardcover

    Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 353,27

    EUR 17,85 Versand 
    Versand von Vereinigtes Königreich nach USA

    Anzahl: Mehr als 20 verfügbar

    Zustand: New. In English.

  • Sprache: Englisch

    Verlag: Springer, 2022

    9811920567 / 9789811920561

    Serie: Buch 95 von 95 - Studies in Big Data

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

    Verkäufer/-in mit 5 Sternen
    Verkäufer/-in kontaktieren

    Zustand: Neu

    EUR 335,29

    EUR 35,00 Versand 
    Versand von Deutschland nach USA

    Anzahl: 1 verfügbar

    Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.…