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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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, College of Medicine and Health Sciences, Sultan Qaboos University, Oman.
Ashish Laxminarayana Shetty, Visiting Professor of Anaesthesiology & Pain Medicine, SSAHE, India. Shetty is also an Honorary Associate Professor, UCL, London and Chief Medical Officer (Pain and Neuromodulation) at NuroKor.
Konstantinos V. Katsikopoulos, Professor of Behavioural Sciences and Founding Co-Director at the Center for Behavioral Experimental Action and Research, University of Southampton, UK.
Peter Phiri, Director of Research & Innovation (Interim), Southern Health NHS Foundation Trust, UK.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Data Science in Healthcare: A Complete Guide (Chapman & Hall/CRC Data Science Series)
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Data Science in Healthcare (Hardcover)
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Taylor & Francis Ltd, London, 2026
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Hardcover. Condición: 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. Nº de ref. del artículo: 9781032799599
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Data Science in Healthcare
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Data Science in Healthcare
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Data Science in Healthcare: A Complete Guide
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Data Science in Healthcare: A Complete Guide (Chapman & Hall/CRC Data Science Series)
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Data Science in Healthcare
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Condición: 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. Nº de ref. del artículo: 2763373270
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Data Science in Healthcare (Hardcover)
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Taylor & Francis Ltd, London, 2026
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ISBN 13: 9781032799599
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Hardcover. Condición: 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. Nº de ref. del artículo: 9781032799599
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Data Science in Healthcare (Hardcover)
Publicado por
Taylor & Francis Ltd, London, 2026
ISBN 10: 1032799595
ISBN 13: 9781032799599
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Hardcover. Condición: 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. Nº de ref. del artículo: 9781032799599
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