Computational Intelligence for Medical Internet of Things (MIoT) Applications 1st Edition

Grab the future of healthcare technology with Computational Intelligence for Medical Internet of Things (MIoT) Applications, 1st Edition by Yassine Maleh, Ahmed A. Abd El-Latif, Kevin Curran, and Patrick Siarry. This timely guide connects cutting-edge computational intelligence with the rapidly expanding Medical IoT ecosystem, making it essential for professionals shaping smarter, safer patient care.

Explore how machine learning, deep learning, fuzzy systems, and swarm intelligence power intelligent MIoT solutions for remote patient monitoring, wearable devices, telemedicine, and smart-hospital infrastructures. The book balances rigorous theory with applied perspectives — from sensor data fusion and edge computing architectures to privacy-aware analytics and real-world deployment challenges — helping readers translate research into practice across healthcare systems worldwide.

Specifically designed for engineers, data scientists, medical researchers, graduate students, and healthcare IT leaders, this volume delivers actionable frameworks and performance evaluation strategies to optimize MIoT networks, improve diagnostic accuracy, and reduce latency in life-critical applications. Case studies and comparative analyses illustrate regional implementations, from advanced hospital networks in Europe and North America to telehealth initiatives across Asia and the Middle East, emphasizing scalable, secure solutions for diverse healthcare environments.

Whether you’re developing next-generation wearable sensors, building predictive health analytics, or advising policy for connected care, this book equips you with the computational tools and deployment insights to accelerate impact. Practical, authoritative, and globally relevant — Computational Intelligence for Medical Internet of Things (MIoT) Applications is your roadmap to designing intelligent healthcare systems that improve outcomes and drive innovation. Secure your copy and lead the transformation in digital health.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.