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Smart medical data sensing and IoT s...

Chakraborty, Chinmay.

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Smart medical data sensing and IoT systems design in healthcare

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart medical data sensing and IoT systems design in healthcare/ Chinmay Chakraborty.
Author:	Chakraborty, Chinmay.
Published:	Hershey, Pennsylvania :IGI Global, : 2019.,
Description:	1 online resource (xix, 288 p.)
[NT 15003449]:	Chapter 1. Mhealth: a low-cost approach for effective disease diagnosis, prediction, monitoring and management effective disease diagnosis -- Chapter 2. Electronic health record security in cloud: medical data protection using homomorphic encryption schemes -- Chapter 3. Blended models for nearest neighbour algorithms for high dimensional smart medical data -- Chapter 4. Developing security solutions for telemedicine applications: medical image encryption and watermarking -- Chapter 5. Smart healthcare monitoring system for war-end soldiers using CNN -- Chapter 6. Wireless body sensor networks for patient health monitoring: security, challenges, applications security, challenges, applications IoT healthcare management -- Chapter 7. Methodical IoT-based information system in healthcare -- Chapter 8. Feasible challenges and applications of IoT in healthcare: essential architecture and challenges in various fields of internet of healthcare things -- Chapter 9. Sensing and monitoring of epileptical seizure under IoT platform -- Chapter 10. Smart ECG monitoring through IoT.
Subject:	Internet. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-0261-7
ISBN:	9781799802624 (ebk.)

Smart medical data sensing and IoT systems design in healthcare
Chakraborty, Chinmay.

Smart medical data sensing and IoT systems design in healthcare[electronic resource] /Chinmay Chakraborty. - Hershey, Pennsylvania :IGI Global,2019. - 1 online resource (xix, 288 p.)

Includes bibliographical references and index.

Chapter 1. Mhealth: a low-cost approach for effective disease diagnosis, prediction, monitoring and management effective disease diagnosis -- Chapter 2. Electronic health record security in cloud: medical data protection using homomorphic encryption schemes -- Chapter 3. Blended models for nearest neighbour algorithms for high dimensional smart medical data -- Chapter 4. Developing security solutions for telemedicine applications: medical image encryption and watermarking -- Chapter 5. Smart healthcare monitoring system for war-end soldiers using CNN -- Chapter 6. Wireless body sensor networks for patient health monitoring: security, challenges, applications security, challenges, applications IoT healthcare management -- Chapter 7. Methodical IoT-based information system in healthcare -- Chapter 8. Feasible challenges and applications of IoT in healthcare: essential architecture and challenges in various fields of internet of healthcare things -- Chapter 9. Sensing and monitoring of epileptical seizure under IoT platform -- Chapter 10. Smart ECG monitoring through IoT.

Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT System.

ISBN: 9781799802624 (ebk.)Subjects--Topical Terms:

527226
Internet.

LC Class. No.: R858 / .C43 2019

Dewey Class. No.: 610.285

Smart medical data sensing and IoT systems design in healthcare
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245 1 0 $a Smart medical data sensing and IoT systems design in healthcare $h [electronic resource] / $c Chinmay Chakraborty.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2019.
300 $a 1 online resource (xix, 288 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Mhealth: a low-cost approach for effective disease diagnosis, prediction, monitoring and management effective disease diagnosis -- Chapter 2. Electronic health record security in cloud: medical data protection using homomorphic encryption schemes -- Chapter 3. Blended models for nearest neighbour algorithms for high dimensional smart medical data -- Chapter 4. Developing security solutions for telemedicine applications: medical image encryption and watermarking -- Chapter 5. Smart healthcare monitoring system for war-end soldiers using CNN -- Chapter 6. Wireless body sensor networks for patient health monitoring: security, challenges, applications security, challenges, applications IoT healthcare management -- Chapter 7. Methodical IoT-based information system in healthcare -- Chapter 8. Feasible challenges and applications of IoT in healthcare: essential architecture and challenges in various fields of internet of healthcare things -- Chapter 9. Sensing and monitoring of epileptical seizure under IoT platform -- Chapter 10. Smart ECG monitoring through IoT.
520 3 $a Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT System.
650 0 $a Internet. $3 527226
650 0 $a Medical care. $3 553082
650 0 $a Medical informatics. $3 661258
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