Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Paperback. Condition: new. Paperback. Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable.Key Features:The book offers comprehensive coverage of the most essential topics, including:Big Data Analytics, Applications & Challenges in HealthcareDescriptive, Predictive and Prescriptive Analytics in HealthcareArtificial Intelligence, Machine Learning, Deep Learning and IoT in HealthcareData Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain TumorThe aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain. This book has a prime focus on the importance of data science in the healthcare domain. The aim of the book is to provide the future scope of these technologies in the health care domain. It will benefit research scholar, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
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Add to basketCondition: New. pages cm First edition Includes bibliographical references and index.
Published by Taylor & Francis Ltd (Sales) Okt 2024, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - This book has a prime focus on the importance of data science in the healthcare domain. The aim of the book is to provide the future scope of these technologies in the health care domain. It will benefit research scholar, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain.
Paperback. Condition: Brand New. 224 pages. 10.00x7.00x10.00 inches. In Stock.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Add to basketPaperback. Condition: new. Paperback. Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable.Key Features:The book offers comprehensive coverage of the most essential topics, including:Big Data Analytics, Applications & Challenges in HealthcareDescriptive, Predictive and Prescriptive Analytics in HealthcareArtificial Intelligence, Machine Learning, Deep Learning and IoT in HealthcareData Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain TumorThe aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain. This book has a prime focus on the importance of data science in the healthcare domain. The aim of the book is to provide the future scope of these technologies in the health care domain. It will benefit research scholar, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032307501 ISBN 13: 9781032307503
Language: English
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Add to basketPaperback. Condition: new. Paperback. Data Science for Effective Healthcare Systems has a prime focus on the importance of data science in the healthcare domain. Various applications of data science in the health care domain have been studied to find possible solutions. In this period of COVID-19 pandemic data science and allied areas plays a vital role to deal with various aspect of health care. Image processing, detection & prevention from COVID-19 virus, drug discovery, early prediction, and prevention of diseases are some thrust areas where data science has proven to be indispensable.Key Features:The book offers comprehensive coverage of the most essential topics, including:Big Data Analytics, Applications & Challenges in HealthcareDescriptive, Predictive and Prescriptive Analytics in HealthcareArtificial Intelligence, Machine Learning, Deep Learning and IoT in HealthcareData Science in Covid-19, Diabetes, Coronary Heart Diseases, Breast Cancer, Brain TumorThe aim of this book is also to provide the future scope of these technologies in the health care domain. Last but not the least, this book will surely benefit research scholar, persons associated with healthcare, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain. This book has a prime focus on the importance of data science in the healthcare domain. The aim of the book is to provide the future scope of these technologies in the health care domain. It will benefit research scholar, faculty, research organizations, and students to get insights into these emerging technologies in the healthcare domain. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Springer International Publishing, 2022
ISBN 10: 3031045238 ISBN 13: 9783031045233
Language: English
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 424 | Sprache: Englisch | Produktart: Bücher.
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 209.
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Add to baskethardcover. Condition: Fine. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
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Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3031045238 ISBN 13: 9783031045233
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032105682 ISBN 13: 9781032105680
Language: English
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Hardcover. Condition: Brand New. 232 pages. 10.00x7.00x0.70 inches. In Stock.
Published by Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031045262 ISBN 13: 9783031045264
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides insights into IoT, its applications, and various implementation techniques. The authors first discuss theIoT design methodologyto define the domain model. They then cover various connection methodologies used in IoT such as Ethernet, Wi-Fi, low powered wide area network (LPWAN), Bluetooth, RFID, cellular, and satellite, and more, along with their challenges. An example is made on the designing process using Arduino, which offers smart, connected, and secure elements; they also illustrate the integration of IoT with Blockchain, cloud, machine learning, big data, embedded software, sensors, etc. The book going on to cover the futureofIoTin various sectors and how IoT will continue to be game-changing technology.