Data Science in Healthcare: A Complete Guide

di Gayathri Delanerolle (Autore)

Yassine Bouchareb (Autore)

Konstantinos V. Katsikopoulos (Autore)

Taylor & Francis Ltd, 2026

Data science is transforming every aspect of modern life, from healthcare and urban planning to finance and governance. This comprehensive book provides an accessible yet rigorous exploration of the principles, methodologies, and applications of data science. It introduces readers to the evolution of data science, the role of artificial intelligence, and the philosophical foundations underpinning data‑driven discovery. By bridging theory and practice, this book provides a unique perspective on how data can be harnessed to solve complex, real‑world problems. Unlike other texts, this book integrates technical foundations with ethical, regulatory, and societal considerations. It covers the entire data science lifecycle, from acquisition and processing to advanced analytics, application development, and decision support. Real‑world case studies—including a detailed example of using electronic health records in Rwanda—illustrate how data science can drive impact in low‑ and high‑resource settings alike. Key Features: Comprehensive coverage of data science fundamentals, machine learning, and advanced analytics In‑depth exploration of ethical, governance, and regulatory challenges Practical insights into developing applications and decision support systems Global case studies demonstrating applied data science in healthcare and public policy Clear explanations suitable for multidisciplinary audiences This book is ideal for students, researchers, and professionals in data science, healthcare, public policy, and technology development. It equips readers with both the technical and ethical tools needed to navigate today’s data‑rich world and to leverage data for innovation, problem‑solving, and societal good.

• Autore: Gayathri Delanerolle, Yassine Bouchareb, Konstantinos V. Katsikopoulos
• Editore: Taylor & Francis Ltd
• Collana: Chapman & Hall/CRC Data Science Series
• Anno: 2026
• Rilegatura: Paperback / softback
• Pagine: 250 p.
• Dimensioni: 234 x 156 mm
• Peso: 453 gr.
• EAN: 9781032786063

Testo in English