5G Enabled Electronic Health (E-Health) Computing: Artificial Intelligence & IoT Cloud Infrastructure - Softcover
Synopsis
This book highlighted requirements for the effective implementation of smart healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an Artificial Neural Network computer algorithm can be used to execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, and client retention. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (E-Health) record retrieval system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an E-Health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and E-Health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare.
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5G Enabled Electronic Health (E-Health) Computing
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LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206740404
ISBN 13: 9786206740407
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlighted requirements for the effective implementation of smart healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an Artificial Neural Network computer algorithm can be used to execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, and client retention. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (E-Health) record retrieval system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an E-Health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and E-Health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare. 200 pp. Englisch. Seller Inventory # 9786206740407
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5G Enabled Electronic Health (E-Health) Computing
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206740404
ISBN 13: 9786206740407
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5G Enabled Electronic Health (E-Health) Computing | Artificial Intelligence & IoT Cloud Infrastructure
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206740404
ISBN 13: 9786206740407
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Taschenbuch. Condition: Neu. 5G Enabled Electronic Health (E-Health) Computing | Artificial Intelligence & IoT Cloud Infrastructure | Ugochukwu O. Matthew (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206740407 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 127448177
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5G Enabled Electronic Health (E-Health) Computing
Published by
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206740404
ISBN 13: 9786206740407
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlighted requirements for the effective implementation of smart healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an Artificial Neural Network computer algorithm can be used to execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, and client retention. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (E-Health) record retrieval system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an E-Health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and E-Health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch. Seller Inventory # 9786206740407
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5G Enabled Electronic Health (E-Health) Computing : Artificial Intelligence & IoT Cloud Infrastructure
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206740404
ISBN 13: 9786206740407
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book highlighted requirements for the effective implementation of smart healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an Artificial Neural Network computer algorithm can be used to execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, and client retention. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (E-Health) record retrieval system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an E-Health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and E-Health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare. Seller Inventory # 9786206740407