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Inhaltsangabe
This book brings together everything you need to know about 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. It draws upon a range of interconnected disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web Technologies. The book emphasizes the practical application of these disciplines in the healthcare domain inclusive of quality assurance, governance and regulatory overview. It includes instructional chapters on data science in healthcare as a foundation, then progresses to showcase real world, successful examples of data science and AI applications in healthcare, highlighting their range of usefulness and potential.Intended primarily for healthcare professionals, including clinical academics, academics and trainees working in the healthcare or medical sectors, this book offers crucial insights into cutting-edge data science technologies, essential for driving innovation in both healthcare businesses and patient care.
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Über die Autorin bzw. den 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.
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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.
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Hardcover. Zustand: 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. Bestandsnummer des Verkäufers 9781032799599
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Hardcover. Zustand: 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. Bestandsnummer des Verkäufers 9781032799599
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Hardcover. Zustand: 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. Bestandsnummer des Verkäufers 9781032799599
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