IoT, Machine Learning and Data Analytics for Smart Healthcare 1st Edition

IoT, Machine Learning and Data Analytics for Smart Healthcare (1st Edition) by Azrour & Mourade delivers a timely, authoritative roadmap for transforming patient care through connected devices, predictive models, and actionable data. This book grabs attention with clear explanations of how Internet of Things (IoT) architectures, machine learning algorithms, and advanced data analytics converge to power modern digital health solutions — from wearable sensors to remote patient monitoring and telemedicine.

Readers will find engaging, practical chapters that demystify complex concepts and show real-world applications across hospitals, clinics, and community health programs. Case studies and implementation strategies highlight predictive analytics for early diagnosis, anomaly detection for chronic disease management, and scalable platforms for smart cities and rural healthcare alike. The content balances technical depth for engineers and data scientists with strategic insights for healthcare administrators and policy makers.

Imagine reducing hospital readmissions, optimizing resource allocation, and enabling personalized care pathways—this book explains how to make those outcomes measurable and repeatable. It’s an essential reference for professionals in health informatics, biomedical engineering, clinical research, and anyone building interoperable, secure healthcare systems across Europe, North America, Asia and beyond.

With a focus on ethical data use, regulatory considerations, and deployment challenges, Azrour and Mourade equip you to design resilient, patient-centered solutions that work in diverse settings. Whether you’re developing a startup product or upgrading institutional systems, this 1st Edition is a practical, forward-looking guide.

Secure your copy today and stay at the forefront of smart healthcare innovation.

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