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In den WarenkorbZustand: New. Über den AutorSumit Srivastava, Ph.D., is the School of Information Technology director at Manipal University, Jaipur, India. He obtained a Ph.D. in data mining from the University of Rajasthan, Rajasthan, India. His areas.
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Verlag: John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394214189 ISBN 13: 9781394214181
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare. Bio-Inspired Optimization for Medical Data Mining is a groundbreaking book that delves into the convergence of natures ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. Organized into 15 chapters, readers learn about the theoretical foundation of pragmatic implementation strategies and actionable advice. In addition, it addresses current developments in molecular subtyping and how they can enhance clinical care. By bridging the gap between cutting-edge technology and critical healthcare challenges, this book is a pivotal contribution, providing a roadmap for leveraging nature-inspired algorithms. In this book, the reader will discover Cutting-edge bio-inspired algorithms designed to optimize medical data processing, providing efficient and accurate solutions for complex healthcare challenges;How bio-inspired optimization can fine-tune diagnostic accuracy, leading to better patient outcomes and improved medical decision-making;How bio-inspired optimization propels healthcare into a new era, unlocking transformative solutions for medical data analysis;Practical insights and actionable advice on implementing bio-inspired optimization techniques and equipping effective real-world medical data scenarios;Compelling case studies illustrating how bio-inspired optimization has made a significant impact in the medical field, inspiring similar success stories. Audience This book is designed for a wide-ranging audience, including medical professionals, healthcare researchers, data scientists, and technology enthusiasts. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbBuch. Zustand: Neu. Neuware - This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare.
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In den WarenkorbZustand: New. 2024. 1st Edition. hardcover. . . . . .
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ISBN 10: 1394214189 ISBN 13: 9781394214181
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare. Bio-Inspired Optimization for Medical Data Mining is a groundbreaking book that delves into the convergence of natures ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. Organized into 15 chapters, readers learn about the theoretical foundation of pragmatic implementation strategies and actionable advice. In addition, it addresses current developments in molecular subtyping and how they can enhance clinical care. By bridging the gap between cutting-edge technology and critical healthcare challenges, this book is a pivotal contribution, providing a roadmap for leveraging nature-inspired algorithms. In this book, the reader will discover Cutting-edge bio-inspired algorithms designed to optimize medical data processing, providing efficient and accurate solutions for complex healthcare challenges;How bio-inspired optimization can fine-tune diagnostic accuracy, leading to better patient outcomes and improved medical decision-making;How bio-inspired optimization propels healthcare into a new era, unlocking transformative solutions for medical data analysis;Practical insights and actionable advice on implementing bio-inspired optimization techniques and equipping effective real-world medical data scenarios;Compelling case studies illustrating how bio-inspired optimization has made a significant impact in the medical field, inspiring similar success stories. Audience This book is designed for a wide-ranging audience, including medical professionals, healthcare researchers, data scientists, and technology enthusiasts. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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In den WarenkorbZustand: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Verlag: John Wiley & Sons Inc, New York, 2024
ISBN 10: 1394214189 ISBN 13: 9781394214181
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: new. Hardcover. This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare. Bio-Inspired Optimization for Medical Data Mining is a groundbreaking book that delves into the convergence of natures ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. Organized into 15 chapters, readers learn about the theoretical foundation of pragmatic implementation strategies and actionable advice. In addition, it addresses current developments in molecular subtyping and how they can enhance clinical care. By bridging the gap between cutting-edge technology and critical healthcare challenges, this book is a pivotal contribution, providing a roadmap for leveraging nature-inspired algorithms. In this book, the reader will discover Cutting-edge bio-inspired algorithms designed to optimize medical data processing, providing efficient and accurate solutions for complex healthcare challenges;How bio-inspired optimization can fine-tune diagnostic accuracy, leading to better patient outcomes and improved medical decision-making;How bio-inspired optimization propels healthcare into a new era, unlocking transformative solutions for medical data analysis;Practical insights and actionable advice on implementing bio-inspired optimization techniques and equipping effective real-world medical data scenarios;Compelling case studies illustrating how bio-inspired optimization has made a significant impact in the medical field, inspiring similar success stories. Audience This book is designed for a wide-ranging audience, including medical professionals, healthcare researchers, data scientists, and technology enthusiasts. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.