Description

Book Synopsis

Healthcare delivery is progressing into a format wherein analysis of a combination of disease data and patient data using predictive analytics provides additional information for physicians and healthcare providers to make more accurate detection, diagnosis, and treatment decisions. This is a unique book offering a novel course on Predictive Analytics in Healthcare. In this book, the focus in chapters is placed on reviewing and analysing the current and future applications of analytics in several health care disciplines, which can, later on, contribute to technical implementation. This book aims to provide comprehensive information to guide physicians, medical students, hospital administrators, biomedical engineering students, data scientists, and the industry in the proper identification of analytics applications in healthcare.


Key Features


  • Presents an overview of Predictive Analytics for physicians, medical students, b

Predictive Analytics in Healthcare Volume1

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    £67.50

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    RRP £75.00 – you save £7.50 (10%)

    Order before 4pm tomorrow for delivery by Fri 7 Aug 2026.

    A Hardback by Dr Vinithasree Subbhuraam

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      Publisher: Institute of Physics Publishing
      Publication Date: Publication Date: 12/20/2021 12:00:00 AM
      ISBN13: 9780750323109, 978-0750323109
      ISBN10: 0750323108

      Description

      Book Synopsis

      Healthcare delivery is progressing into a format wherein analysis of a combination of disease data and patient data using predictive analytics provides additional information for physicians and healthcare providers to make more accurate detection, diagnosis, and treatment decisions. This is a unique book offering a novel course on Predictive Analytics in Healthcare. In this book, the focus in chapters is placed on reviewing and analysing the current and future applications of analytics in several health care disciplines, which can, later on, contribute to technical implementation. This book aims to provide comprehensive information to guide physicians, medical students, hospital administrators, biomedical engineering students, data scientists, and the industry in the proper identification of analytics applications in healthcare.


      Key Features


      • Presents an overview of Predictive Analytics for physicians, medical students, b

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