Emerging Fuzzy Intelligent Systems for Smart Healthcare Management

Grab attention with a forward-looking guide that bridges artificial intelligence and patient care: Emerging Fuzzy Intelligent Systems for Smart Healthcare Management by Shahzaib Ashraf, Chiranjibe Jana, Valentina Emilia Balas, and Witold Pedrycz offers a timely exploration of how fuzzy logic and intelligent systems transform modern healthcare.

Dive into a clear, actionable resource that balances theory and practice. The authors illuminate the foundations of fuzzy intelligent systems, explain how they integrate with IoT, wearable sensors, and telemedicine platforms, and outline design approaches for robust clinical decision support, remote monitoring, and predictive analytics. Whether you’re a researcher, healthcare manager, data scientist, or clinician, you’ll find practical frameworks and problem-solving strategies to improve diagnostic accuracy, personalize treatment plans, and enhance operational efficiency.

Imagine reducing false alarms, improving patient triage, and enabling adaptive care pathways—this book shows how. Written with real-world applicability, it addresses interoperability, data quality, and ethical considerations essential for deployment across hospitals, clinics, and public-health programs in Europe, North America, Asia and beyond.

Make smarter healthcare decisions backed by intelligent, interpretable models. Emerging Fuzzy Intelligent Systems for Smart Healthcare Management equips you with the concepts and tools to lead digital transformation in healthcare settings—today and tomorrow.

Secure your copy now to stay at the forefront of AI-driven healthcare innovation and begin applying fuzzy intelligent solutions that deliver measurable clinical and operational benefits.

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