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Diagnostic applications of health in...
~
Yadav, Divakar, (1976-)
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Diagnostic applications of health intelligence and surveillance systems
Record Type:
Electronic resources : Monograph/item
Title/Author:
Diagnostic applications of health intelligence and surveillance systems/ edited by Divakar Yadav, Abhay Bansal, Madhulika Bhatia, Madhurima Hooda, Jorge Morato.
other author:
Yadav, Divakar,
Published:
Hershey, Pennsylvania :IGI Global, : 2021.,
Description:
1 online resource (xx, 332 p.)
[NT 15003449]:
Chapter 1. Review of data mining techniques used in healthcare -- Chapter 2. Detection of diabetic retinopathy with mobile application using deep learning -- Chapter 3. Android-based skin cancer recognition system using convolutional neural network -- Chapter 4. Mhealth: a resolution in improving global health -- Chapter 5. Computational studies in breast cancer -- Chapter 6. The role of genetic data analysis for precision therapy in cancer: personalized medicine concept in cancer treatment -- Chapter 7. The role of e-health interventions in improving clinical outcomes and overall health for prostate cancer patients: a review -- Chapter 8. Incautious usage of social media: impact on emotional intelligence and health concerns -- Chapter 9. Epileptic seizure detection using machine learning techniques -- Chapter 10. Public health surveillance system: infectious diseases -- Chapter 11. Applications of nanoparticles in various fields -- Chapter 12. Internet of things (IoT) in healthcare -- Chapter 13. IoT on healthcare using clinical decision support system.
Subject:
Artificial intelligence. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-6527-8
ISBN:
9781799865285 (ebk.)
Diagnostic applications of health intelligence and surveillance systems
Diagnostic applications of health intelligence and surveillance systems
[electronic resource] /edited by Divakar Yadav, Abhay Bansal, Madhulika Bhatia, Madhurima Hooda, Jorge Morato. - Hershey, Pennsylvania :IGI Global,2021. - 1 online resource (xx, 332 p.)
Includes bibliographical references and index.
Chapter 1. Review of data mining techniques used in healthcare -- Chapter 2. Detection of diabetic retinopathy with mobile application using deep learning -- Chapter 3. Android-based skin cancer recognition system using convolutional neural network -- Chapter 4. Mhealth: a resolution in improving global health -- Chapter 5. Computational studies in breast cancer -- Chapter 6. The role of genetic data analysis for precision therapy in cancer: personalized medicine concept in cancer treatment -- Chapter 7. The role of e-health interventions in improving clinical outcomes and overall health for prostate cancer patients: a review -- Chapter 8. Incautious usage of social media: impact on emotional intelligence and health concerns -- Chapter 9. Epileptic seizure detection using machine learning techniques -- Chapter 10. Public health surveillance system: infectious diseases -- Chapter 11. Applications of nanoparticles in various fields -- Chapter 12. Internet of things (IoT) in healthcare -- Chapter 13. IoT on healthcare using clinical decision support system.
"The book is a great reference about the various application and scientific work going on in this area of how AI is driving the Health sector and helping health practitioners to predict disease intensity using the latest technology"--
ISBN: 9781799865285 (ebk.)Subjects--Topical Terms:
516317
Artificial intelligence.
LC Class. No.: R859.7.A78 / D53 2021
Dewey Class. No.: 616.07/50028563
Diagnostic applications of health intelligence and surveillance systems
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Diagnostic applications of health intelligence and surveillance systems
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[electronic resource] /
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edited by Divakar Yadav, Abhay Bansal, Madhulika Bhatia, Madhurima Hooda, Jorge Morato.
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Hershey, Pennsylvania :
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IGI Global,
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2021.
300
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1 online resource (xx, 332 p.)
504
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Includes bibliographical references and index.
505
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Chapter 1. Review of data mining techniques used in healthcare -- Chapter 2. Detection of diabetic retinopathy with mobile application using deep learning -- Chapter 3. Android-based skin cancer recognition system using convolutional neural network -- Chapter 4. Mhealth: a resolution in improving global health -- Chapter 5. Computational studies in breast cancer -- Chapter 6. The role of genetic data analysis for precision therapy in cancer: personalized medicine concept in cancer treatment -- Chapter 7. The role of e-health interventions in improving clinical outcomes and overall health for prostate cancer patients: a review -- Chapter 8. Incautious usage of social media: impact on emotional intelligence and health concerns -- Chapter 9. Epileptic seizure detection using machine learning techniques -- Chapter 10. Public health surveillance system: infectious diseases -- Chapter 11. Applications of nanoparticles in various fields -- Chapter 12. Internet of things (IoT) in healthcare -- Chapter 13. IoT on healthcare using clinical decision support system.
520
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"The book is a great reference about the various application and scientific work going on in this area of how AI is driving the Health sector and helping health practitioners to predict disease intensity using the latest technology"--
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Provided by publisher.
650
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Artificial intelligence.
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516317
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Diagnosis.
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661258
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Yadav, Divakar,
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1976-
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3510620
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Bansal, Abhay.
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3510621
700
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Bhatia, Madhulika,
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1984-
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Hooda, Madhurima,
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1985-
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Morato, Jorge,
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1967-
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3510624
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-6527-8
based on 0 review(s)
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1 records • Pages 1 •
1
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W9407233
電子資源
11.線上閱覽_V
電子書
EB R859.7.A78 D53 2021
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1 records • Pages 1 •
1
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