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Bio-inspired optimization for medical data mining

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bio-inspired optimization for medical data miningedited by Sumit Srivastava ... [et al.]
其他作者:	Srivastava, Sumit.
出版者:	Hoboken, NJ :John Wiley & Sons ;2024.
面頁冊數:	1 online resource.
標題:	Medical informaticsData processing.
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781394214211
ISBN:	9781394214211$q(electronic bk.)

Bio-inspired optimization for medical data mining
Bio-inspired optimization for medical data mining[electronic resource] /edited by Sumit Srivastava ... [et al.] - 1st ed. - Hoboken, NJ :John Wiley & Sons ;2024. - 1 online resource.

Includes bibliographical references and index.

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 nature's 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.

ISBN: 9781394214211$q(electronic bk.)Subjects--Topical Terms:

931126
Medical informatics
--Data processing.

LC Class. No.: R859.7.D35 / B56 2024

Dewey Class. No.: 610.285

Bio-inspired optimization for medical data mining
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245 0 0 $a Bio-inspired optimization for medical data mining $h [electronic resource] / $c edited by Sumit Srivastava ... [et al.]
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons ; $a Beverly, MA : $b Scrivener, $c 2024.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a 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 nature's 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.
588 $a Description based on online resource; title from digital title page (viewed on July 10, 2024)
650 0 $a Medical informatics $x Data processing. $3 931126
650 0 $a Data mining. $3 184440
700 1 $a Srivastava, Sumit. $3 996238
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781394214211