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Shreyas Suresh Rao & Steven Lawrence Fernandes 
AIoT and Big Data Analytics for Smart Healthcare Applications 

Soporte

AIo T (Artificial Intelligence of Things) and Big Data Analytics are catalyzing a healthcare revolution. This book is an accessible volume that summarizes the information available. In this book, researchers explore how AIo T and Big Data can seamlessly integrate into healthcare, enhancing medical services and devices while adhering to established protocols. The book demonstrates the crucial role of these technologies during healthcare crises like the COVID-19 pandemic. It presents novel solutions and computational techniques powered by AIo T, Machine Learning, and Deep Learning, providing a new frontier in healthcare problem-solving.
Key Features:
Real-Life Illustrations: Real-world examples showcase AIo T and Big Data in action, highlighting their impact in healthcare.
Comprehensive Exploration: The book offers a thorough examination of AIo T, Big Data, and their harmonious synergy within the healthcare landscape.
Visual Aids: Complex concepts become approachable through diagrams, flowcharts, and infographics, making technical processes and system designs more digestible.
Ethical Insights: Delving into the ethical dimensions of AIo T and Big Data, it addresses concerns like data bias, patient consent, and transparency in healthcare.
Forward-Looking Discourse: The book engages with emerging trends, potential innovations, and the future direction of AIo T and Big Data, making it a compass for healthcare transformation.
Researchers, whether from academia, industry, or research and development organizations, interested in AIo T, Big Data, artificial intelligence, and healthcare optimization, will find this book informative. It also serves as an update for tech enthusiasts who want to explore the future of healthcare powered by AI and data.

€53.95
Métodos de pago
Idioma Inglés ● Formato EPUB ● Páginas 300 ● ISBN 9789815196054 ● Tamaño de archivo 6.9 MB ● Editor Shreyas Suresh Rao & Steven Lawrence Fernandes ● Editorial Bentham Science Publishers ● Publicado 2001 ● Descargable 24 meses ● Divisa EUR ● ID 9300241 ● Protección de copia Adobe DRM
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