Artificial Intelligence for the Internet of Health Things
- Indbinding:
- Paperback
- Sideantal:
- 200
- Udgivet:
- 25. september 2023
- Størrelse:
- 156x12x234 mm.
- Vægt:
- 313 g.
- 8-11 hverdage.
- 9. december 2024
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- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Artificial Intelligence for the Internet of Health Things
This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications.
Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector
Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms
Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare
Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks
Introduces a new applications and case studies across all areas of AI in healthcare data
K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India.
Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India.
Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.
Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector
Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms
Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare
Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks
Introduces a new applications and case studies across all areas of AI in healthcare data
K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India.
Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India.
Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.
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Bogen Artificial Intelligence for the Internet of Health Things findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
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- Lægevidenskab og sygepleje > Sygepleje og paramedicinske fag > Biomedicinsk teknik
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