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Applications of deep learning and bi...
~
Wason, Ritika, (1982-)
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Applications of deep learning and big IoT on personalized healthcare services
Record Type:
Electronic resources : Monograph/item
Title/Author:
Applications of deep learning and big IoT on personalized healthcare services/ edited by Ritika Wason, Dinesh Goyal, Vishal Jain, S. Balamurugan, Anupam Baliyan.
other author:
Wason, Ritika,
Published:
Hershey, Pennsylvania :IGI Global, : 2020.,
Description:
1 online resource (xv, 248 p.)
[NT 15003449]:
Chapter 1. Automation in healthcare services -- Chapter 2. Deep data analytics: future of telehealth -- Chapter 3. Emergence of IoT and big data: a study in the healthcare industry -- Chapter 4. Automation in healthcare: a forecast and outcome medical IoT and big data in healthcare -- Chapter 5. An effective diagnostic model for personalized healthcare using deep learning techniques -- Chapter 6. Real-time mental health monitoring: the Indian scenario -- Chapter 7. Disease diagnosis and treatment using deep learning algorithms for the healthcare system -- Chapter 8. Elderly behavior prediction using a deep learning model in smart homes -- Chapter 9. A surrogate data-based approach for validating deep learning model used in healthcare -- Chapter 10. Managing the scarcity of monitoring data through machine learning for human behavior in mental health care -- Chapter 11. Machine learning is the future for lung cancer prognosis and prediction -- Chapter 12. Effective and accurate diagnosis using brain image fusion.
Subject:
Medical informatics. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2101-4
ISBN:
9781799821021 (ebk.)
Applications of deep learning and big IoT on personalized healthcare services
Applications of deep learning and big IoT on personalized healthcare services
[electronic resource] /edited by Ritika Wason, Dinesh Goyal, Vishal Jain, S. Balamurugan, Anupam Baliyan. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xv, 248 p.) - Advances in medical technologies and clinical practice (AMTCP) book series. - Advances in medical technologies and clinical practice book series..
Includes bibliographical references and index.
Chapter 1. Automation in healthcare services -- Chapter 2. Deep data analytics: future of telehealth -- Chapter 3. Emergence of IoT and big data: a study in the healthcare industry -- Chapter 4. Automation in healthcare: a forecast and outcome medical IoT and big data in healthcare -- Chapter 5. An effective diagnostic model for personalized healthcare using deep learning techniques -- Chapter 6. Real-time mental health monitoring: the Indian scenario -- Chapter 7. Disease diagnosis and treatment using deep learning algorithms for the healthcare system -- Chapter 8. Elderly behavior prediction using a deep learning model in smart homes -- Chapter 9. A surrogate data-based approach for validating deep learning model used in healthcare -- Chapter 10. Managing the scarcity of monitoring data through machine learning for human behavior in mental health care -- Chapter 11. Machine learning is the future for lung cancer prognosis and prediction -- Chapter 12. Effective and accurate diagnosis using brain image fusion.
"This book explores the different applications of deep learning algorithms in implementing big data and IoT enabled smart solutions for personalized healthcare services"--
ISBN: 9781799821021 (ebk.)Subjects--Topical Terms:
661258
Medical informatics.
LC Class. No.: R858 / .A67 2020
Dewey Class. No.: 362.10285
Applications of deep learning and big IoT on personalized healthcare services
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edited by Ritika Wason, Dinesh Goyal, Vishal Jain, S. Balamurugan, Anupam Baliyan.
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Hershey, Pennsylvania :
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IGI Global,
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2020.
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1 online resource (xv, 248 p.)
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Advances in medical technologies and clinical practice (AMTCP) book series
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Includes bibliographical references and index.
505
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Chapter 1. Automation in healthcare services -- Chapter 2. Deep data analytics: future of telehealth -- Chapter 3. Emergence of IoT and big data: a study in the healthcare industry -- Chapter 4. Automation in healthcare: a forecast and outcome medical IoT and big data in healthcare -- Chapter 5. An effective diagnostic model for personalized healthcare using deep learning techniques -- Chapter 6. Real-time mental health monitoring: the Indian scenario -- Chapter 7. Disease diagnosis and treatment using deep learning algorithms for the healthcare system -- Chapter 8. Elderly behavior prediction using a deep learning model in smart homes -- Chapter 9. A surrogate data-based approach for validating deep learning model used in healthcare -- Chapter 10. Managing the scarcity of monitoring data through machine learning for human behavior in mental health care -- Chapter 11. Machine learning is the future for lung cancer prognosis and prediction -- Chapter 12. Effective and accurate diagnosis using brain image fusion.
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"This book explores the different applications of deep learning algorithms in implementing big data and IoT enabled smart solutions for personalized healthcare services"--
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1982-
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Goyal, Dinesh,
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Jain, Vishal,
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Balamurugan, S.
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1985-
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Baliyan, Anupam,
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1976-
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-2101-4
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W9407219
電子資源
11.線上閱覽_V
電子書
EB R858 .A67 2020
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1 records • Pages 1 •
1
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