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E-raamat: AI-Enabled IoT for Smart Health Care Systems

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The book focuses on intelligent computer-aided tools and techniques for early and precise disease diagnosis. Trending topics like deep learning and the internet of things have immense opportunities in healthcare data analytics. So, the contents of the book are targeted mainly at the automated CAD tools for healthcare data analytics. A major portion of the book emphasizes the recent state-of-the-art methodologies, tools, and datasets that are used in healthcare diagnosis, patient monitoring, healthcare recommendation systems, etc.
Preface; Role of IoT in Smart Health Care Setups: A Critical Analysis;
Internet of Things in Health Care: Architecture, Technologies, Protocols,
Applications, Challenges and Future Scope; Towards the Smart Diagnosis of
Brain Disorders Using Artificial Intelligence; Machine Learning Techniques
for IoT-Enabled Health Care Environment; AI, IoT and Wearable Technology for
Smart Health Care; Polycistic Ovarian Syndrome at a High Rise in Jammu and
Kashmir Its Early Prediction Using Decision Tree Classification Techniques;
Data-Driven Modern HealthcareHealth Care Systems with the Internet of Medical
Things Combined with Big Data and Machine Learning; Real-Time Intelligent
Application for Lifestyle and Mind State Monitoring and Simulation Using
Digital Twin, Artificial Intelligence and IoT; Explainable Artificial
Intelligence in Smart Health Care Systems; SleepEEG Study: Automated Sleep
Stage System with Machine Learning Techniques; Index.
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Püsilink: https://www.kriso.ee/db/97988869707392e.html
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