ISBN: 9781032799599 - data science in healthcare: a complete guide (15 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. Dr Gayathri Delanerolle, Senior Clinical Researcher, Southern Health NHS Foundation Trust, UK.Dr Yassine Bouchareb is a Registered Clinical Scientist, Health Care Professions Council, UK. As well as an Assistant Professor of Medical Physics, Colle.

Hardback. Condizione: New. 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 analyticsIn-depth exploration of ethical, governance, and regulatory challengesPractical insights into developing applications and decision support systemsGlobal case studies demonstrating applied data science in healthcare and public policyClear explanations suitable for multidisciplinary audiencesThis 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.…

Hardcover. Condizione: Brand New. 256 pages. 9.18x6.12x9.45 inches. In Stock.

Hardback. Condizione: New. 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 analyticsIn-depth exploration of ethical, governance, and regulatory challengesPractical insights into developing applications and decision support systemsGlobal case studies demonstrating applied data science in healthcare and public policyClear explanations suitable for multidisciplinary audiencesThis 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.…

Hardcover. Condizione: new. Hardcover. 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 datadriven discovery. By bridging theory and practice, this book provides a unique perspective on how data can be harnessed to solve complex, realworld 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. Realworld case studiesincluding a detailed example of using electronic health records in Rwandaillustrate how data science can drive impact in low and highresource settings alike.Key Features:Comprehensive coverage of data science fundamentals, machine learning, and advanced analyticsIndepth exploration of ethical, governance, and regulatory challengesPractical insights into developing applications and decision support systemsGlobal case studies demonstrating applied data science in healthcare and public policyClear explanations suitable for multidisciplinary audiencesThis 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 todays datarich world and to leverage data for innovation, problemsolving, and societal good. This book focuses on data science within healthcare systems, with a primary focus on showing how to advance automated and non-automated analytical methods for extracting valuable insights from healthcare data. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Hardcover. Condizione: new. Hardcover. 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 datadriven discovery. By bridging theory and practice, this book provides a unique perspective on how data can be harnessed to solve complex, realworld 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. Realworld case studiesincluding a detailed example of using electronic health records in Rwandaillustrate how data science can drive impact in low and highresource settings alike.Key Features:Comprehensive coverage of data science fundamentals, machine learning, and advanced analyticsIndepth exploration of ethical, governance, and regulatory challengesPractical insights into developing applications and decision support systemsGlobal case studies demonstrating applied data science in healthcare and public policyClear explanations suitable for multidisciplinary audiencesThis 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 todays datarich world and to leverage data for innovation, problemsolving, and societal good. This book focuses on data science within healthcare systems, with a primary focus on showing how to advance automated and non-automated analytical methods for extracting valuable insights from healthcare data. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. 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 datadriven discovery. By bridging theory and practice, this book provides a unique perspective on how data can be harnessed to solve complex, realworld 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. Realworld case studiesincluding a detailed example of using electronic health records in Rwandaillustrate how data science can drive impact in low and highresource settings alike.Key Features:Comprehensive coverage of data science fundamentals, machine learning, and advanced analyticsIndepth exploration of ethical, governance, and regulatory challengesPractical insights into developing applications and decision support systemsGlobal case studies demonstrating applied data science in healthcare and public policyClear explanations suitable for multidisciplinary audiencesThis 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 todays datarich world and to leverage data for innovation, problemsolving, and societal good. This book focuses on data science within healthcare systems, with a primary focus on showing how to advance automated and non-automated analytical methods for extracting valuable insights from healthcare data. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 datädriven 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 datärich world and to leverage data for innovation, problem¿solving, and societal good. …