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Telemedicine technologies = big data...
~
Jude, Hemanth D.,
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Telemedicine technologies = big data, deep learning, robotics, mobile and remote applications for global healthcare /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Telemedicine technologies/ edited by Hemanth D. Jude, Valentina Emilia Balas.
Reminder of title:
big data, deep learning, robotics, mobile and remote applications for global healthcare /
other author:
Jude, Hemanth D.,
Published:
London, United Kingdom :Academic Press, an imprint of Elsevier, : 2019.,
Description:
1 online resource.
Notes:
Includes index.
[NT 15003449]:
Mobile Application for Medical Diagnosis -- Emerging Paradigms in Transform-Based Medical Image Compression for Telemedicine Environment -- Adopting m-Health in Clinical Practice: A Boon or a Bane? -- Investigation of TelecardiologySystem to Detect Cardiac Abnormalities -- Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Shape and Steerable Gaussian Features -- Telemetry System for Early Detection of Hyperbilirubinemia in Neonates -- WBAN: Driving e-healthcare Beyond Telemedicine to Remote Health Monitoring: Architecture and Protocols -- Remote Monitoring of Children With Chronic Illness Using Wearable Vest -- A Predictive Model for Hypertension Diagnosis Using Machine LearningTechniques -- From Telediagnosis to Teletreatment: The Role of Computational Biology and Bioinformatics in Tele-Based Healthcare -- m-Health in Public Health Practice: A Constellation of Current Evidence -- The Egyptian-African TelemedicineNetwork: The Treat and Teach Comprehensive Model -- An Extended Views Based Big Data Model Toward Facilitating Electronic Health Record Analytics -- Security and Privacy in Remote Healthcare: Issues, Solutions, and Standards -- Virtual Clinic: A CDSS Assisted Telemedicine Framework.
Subject:
Telecommunication in medicine. -
Online resource:
https://www.sciencedirect.com/science/book/9780128169483
ISBN:
9780128169490 (electronic bk.)
Telemedicine technologies = big data, deep learning, robotics, mobile and remote applications for global healthcare /
Telemedicine technologies
big data, deep learning, robotics, mobile and remote applications for global healthcare /[electronic resource] :edited by Hemanth D. Jude, Valentina Emilia Balas. - London, United Kingdom :Academic Press, an imprint of Elsevier,2019. - 1 online resource.
Includes index.
Includes bibliographical references and index.
Mobile Application for Medical Diagnosis -- Emerging Paradigms in Transform-Based Medical Image Compression for Telemedicine Environment -- Adopting m-Health in Clinical Practice: A Boon or a Bane? -- Investigation of TelecardiologySystem to Detect Cardiac Abnormalities -- Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Shape and Steerable Gaussian Features -- Telemetry System for Early Detection of Hyperbilirubinemia in Neonates -- WBAN: Driving e-healthcare Beyond Telemedicine to Remote Health Monitoring: Architecture and Protocols -- Remote Monitoring of Children With Chronic Illness Using Wearable Vest -- A Predictive Model for Hypertension Diagnosis Using Machine LearningTechniques -- From Telediagnosis to Teletreatment: The Role of Computational Biology and Bioinformatics in Tele-Based Healthcare -- m-Health in Public Health Practice: A Constellation of Current Evidence -- The Egyptian-African TelemedicineNetwork: The Treat and Teach Comprehensive Model -- An Extended Views Based Big Data Model Toward Facilitating Electronic Health Record Analytics -- Security and Privacy in Remote Healthcare: Issues, Solutions, and Standards -- Virtual Clinic: A CDSS Assisted Telemedicine Framework.
Telemedicine Technologies: Big Data, Deep Learning, Robotics, Mobile and Remote Applications for Global Healthcare illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. The book also focuses on showcasing prototypes of remote healthcare systems, thus emphasizing the data processing side that is often recognized as the backbone of any telemedicine system. Illustrates the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system Focuses on showcasing prototypes of remote healthcare systems.
ISBN: 9780128169490 (electronic bk.)Subjects--Topical Terms:
781077
Telecommunication in medicine.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: R119.9 / .T45 2019
Dewey Class. No.: 610.28
National Library of Medicine Call No.: W 83
Telemedicine technologies = big data, deep learning, robotics, mobile and remote applications for global healthcare /
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Mobile Application for Medical Diagnosis -- Emerging Paradigms in Transform-Based Medical Image Compression for Telemedicine Environment -- Adopting m-Health in Clinical Practice: A Boon or a Bane? -- Investigation of TelecardiologySystem to Detect Cardiac Abnormalities -- Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Shape and Steerable Gaussian Features -- Telemetry System for Early Detection of Hyperbilirubinemia in Neonates -- WBAN: Driving e-healthcare Beyond Telemedicine to Remote Health Monitoring: Architecture and Protocols -- Remote Monitoring of Children With Chronic Illness Using Wearable Vest -- A Predictive Model for Hypertension Diagnosis Using Machine LearningTechniques -- From Telediagnosis to Teletreatment: The Role of Computational Biology and Bioinformatics in Tele-Based Healthcare -- m-Health in Public Health Practice: A Constellation of Current Evidence -- The Egyptian-African TelemedicineNetwork: The Treat and Teach Comprehensive Model -- An Extended Views Based Big Data Model Toward Facilitating Electronic Health Record Analytics -- Security and Privacy in Remote Healthcare: Issues, Solutions, and Standards -- Virtual Clinic: A CDSS Assisted Telemedicine Framework.
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https://www.sciencedirect.com/science/book/9780128169483
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W9406442
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11.線上閱覽_V
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EB R119.9 .T45 2019
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