Application of Advanced Optimization Techniques for Healthcare Analytics 1st Edition

Application of Advanced Optimization Techniques for Healthcare Analytics — 1st Edition by Mohamed Abdel-Basset, Ripon K. Chakrabortty, and Reda Mohamed offers a clear, practical roadmap for applying state-of-the-art optimization methods to real-world health problems. This authoritative volume bridges mathematical rigor and clinical relevance, making it essential for data scientists, healthcare managers, and policy makers seeking measurable improvements in care delivery.

Begin with compelling, real-world challenges—overcrowded emergency departments, resource allocation, patient-flow bottlenecks—and move into contemporary algorithmic solutions: metaheuristics, genetic algorithms, particle swarm optimization, fuzzy systems, and hybrid approaches tailored to healthcare analytics. The authors combine theoretical foundations with applied case studies and computational experiments to translate complex models into operational gains.

Readers gain the tools to develop predictive and prescriptive analytics for risk stratification, scheduling, diagnostic support, and cost-effective resource planning. Clear explanations, reproducible model workflows, and performance comparisons make it simple to evaluate which methods work best for specific clinical settings. The global perspective addresses health systems across North America, Europe, Asia and the Middle East, ensuring relevance for hospitals, clinics, and health technology companies worldwide.

Ideal for advanced students, researchers, and practitioners, this book empowers teams to reduce wait times, improve patient outcomes, and optimize resource utilization using advanced optimization techniques. Practical, research-driven, and actionable, it’s a must-have reference for anyone transforming healthcare through analytics.

Order your copy today to start translating optimization theory into measurable clinical impact.

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