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Published by CBS Publishers & Distributors Pv, 2020
ISBN 10: 9389565782 ISBN 13: 9789389565782
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Published by CBS Publishers & Distributors Pvt Ltd, India, 2020
ISBN 10: 9389565782 ISBN 13: 9789389565782
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Language: English
Published by CBS Publishers & Distributors Pvt Ltd, India, 2020
ISBN 10: 9389565782 ISBN 13: 9789389565782
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Language: English
Published by CBS Publishers & Distributors Pvt Ltd, India, 2020
ISBN 10: 9389565782 ISBN 13: 9789389565782
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Published by CBS Publishers & Distributors Pvt Ltd, India, 2020
ISBN 10: 9389565782 ISBN 13: 9789389565782
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Language: English
Published by CBS Publishers & Distributors Pvt Ltd, India, 2020
ISBN 10: 9389565782 ISBN 13: 9789389565782
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Language: Spanish
Published by Ediciones Nuestro Conocimiento, 2023
ISBN 10: 6206633810 ISBN 13: 9786206633815
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Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 384654339X ISBN 13: 9783846543399
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Published by Springer Verlag, Singapore, Singapore, 2022
ISBN 10: 9811694753 ISBN 13: 9789811694752
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Hardcover. Condition: new. Hardcover. The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis. The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Springer Nature Singapore, 2022
ISBN 10: 9811694753 ISBN 13: 9789811694752
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | The book introduces a variety of latest techniques designed to represent, enhance, and empower multi-disciplinary approaches of geographic information system (GIS), artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing research in healthcare. It provides a unique compendium of the current and emerging use of geospatial data for healthcare and reflects the diversity, complexity, and depth and breadth of this multi-disciplinary area. This book addresses various aspects of how smart healthcare devices can be used to detect and analyze diseases. Further, it describes various tools and techniques to evaluate the efficacy, suitability, and efficiency of geospatial data for health-related applications. It features illustrative case studies, including future applications and healthcare challenges. This book is beneficial for computer science and engineering students and researchers, medical professionals, and anyone interested in using geospatial data in healthcare. It is also intended for experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious to learn about this important subject. The book presents an effort to draw how we can build health-related applications using geospatial big data and their subsequent analysis.
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