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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
With the development of information technology, the concept of smart healthcare has been evolving gradually. Technologies, such as the internet of things (loT), cloud computing, big data, and artificial intelligence have come into the picture, transforming the old medical system and making healthcare better in terms of efficiency, convenience, and personalization. These variations are necessary to meet the requirements of individual people and improve the efficiency of medical care.
The book discusses current challenges to digital healthcare adoption and how IoT and big data technologies can help promote digital healthcare adoption and improve healthcare efficiency. It also discusses how IoT, Big data, and Deep learning techniques can work together to improve the adoption of smart health which will then result in improved healthcare delivery and access. This book targets researchers, undergraduate and postgraduate students, engineers, academicians, and scholars working in the area of data science and its application in health sciences.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
With the development of information technology, the concept of smart healthcare has been evolving gradually. Technologies, such as the internet of things (loT), cloud computing, big data, and artificial intelligence have come into the picture, transforming the old medical system and making healthcare better in terms of efficiency, convenience, and personalization. These variations are necessary to meet the requirements of individual people and improve the efficiency of medical care.
The book discusses current challenges to digital healthcare adoption and how IoT and big data technologies can help promote digital healthcare adoption and improve healthcare efficiency. It also discusses how IoT, Big data, and Deep learning techniques can work together to improve the adoption of smart health which will then result in improved healthcare delivery and access. This book targets researchers, undergraduate and postgraduate students, engineers, academicians, and scholars working in the area of data science and its application in health sciences.