Integrating Artificial Intelligence and IoT for Advanced Health Informatics

This book explores the integration of IoT and AI to enhance healthcare applications, providing innovative solutions for health informatics.

In Integrating Artificial Intelligence and IoT for Advanced Health Informatics, the authors delve into the transformative potential of combining the Internet of Things (IoT) with Artificial Intelligence (AI) to enhance smart healthcare applications. This integration is pivotal for developing innovative solutions that can efficiently collect, monitor, control, and optimize healthcare data. By leveraging AI, the book outlines how healthcare providers can better model and predict patient outcomes, ultimately leading to improved care delivery and patient wellbeing.

The authors thoroughly explore the limitations of traditional computational methods in the face of the vast and diverse data generated by IoT devices. They present AI techniques that are essential for managing large volumes of heterogeneous, multi-scale, and multi-modal data, which are characteristic of modern healthcare systems. This comprehensive approach highlights the necessity of advanced methodologies that can address the unique challenges posed by health informatics.

Moreover, Integrating Artificial Intelligence and IoT for Advanced Health Informatics emphasizes the significant advantages brought about by this fusion. It provides insights into designing models, algorithms, and evaluation benchmarks that can tackle pressing issues in healthcare. The book serves as a valuable resource for researchers and practitioners aiming to harness the power of AI and IoT to revolutionize health informatics and improve overall wellbeing.