Isbn: 9781032786063 - data science in healthcare: a complete guide (21 risultati)

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  • Lingua: Inglese

    Editore: Chapman and Hall/CRC, 2026

    103278606X / 9781032786063

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  • Lingua: Inglese

    Editore: Chapman and Hall/CRC, 2026

    103278606X / 9781032786063

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  • Lingua: Inglese

    Editore: Chapman and Hall/CRC, 2026

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  • Lingua: Inglese

    Editore: Chapman and Hall/CRC, 2026

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  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, 2026

    103278606X / 9781032786063

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  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2026

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    Paperback. 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.

  • Lingua: Inglese

    Editore: Chapman and Hall/CRC, 2026

    103278606X / 9781032786063

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  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2026

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    Paperback. 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.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2026

    103278606X / 9781032786063

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    Paperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days.

  • Lingua: Inglese

    Editore: Chapman and Hall/CRC, 2026

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  • Lingua: Inglese

    Editore: A K Peters Ltd, 2026

    103278606X / 9781032786063

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Paperback. Condizione: Brand New. 256 pages. 9.18x6.12x9.21 inches. In Stock.

  • Lingua: Inglese

    Editore: TAYLOR & FRANCIS NP EXCLUSIVE(CBS), 2026

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    Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

  • Lingua: Inglese

    Editore: CRC Press, 2026

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    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.

  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2026

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    Paperback. 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.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd Jul 2026, 2026

    103278606X / 9781032786063

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    Taschenbuch. Condizione: Neu. Neuware - 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.

  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2026

    103278606X / 9781032786063

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    Paperback. 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.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2026

    103278606X / 9781032786063

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    Taschenbuch. Condizione: Neu. Data Science in Healthcare | A Complete Guide | Gayathri Delanerolle (u. a.) | Taschenbuch | Chapman & Hall/CRC Data Science Series | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781032786063 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    103278606X / 9781032786063

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    Paperback. Condizione: new. Paperback. 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.

  • Lingua: Inglese

    Editore: A K Peters Ltd, 2026

    103278606X / 9781032786063

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    Paperback. Condizione: Brand New. 256 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    103278606X / 9781032786063

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    Paperback. Condizione: new. Paperback. 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.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2026

    103278606X / 9781032786063

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    Paperback. Condizione: new. Paperback. 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.