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020 _a9781394214181
020 _a9781394214211
_qelectronic book
020 _a1394214219
_qelectronic book
020 _a9781394214204
_qelectronic book
020 _a1394214200
_qelectronic book
020 _z9781394214181
_qhardcover
020 _a9781394214198
_qePub ebook
020 _a1394214197
024 8 _aCIPO000113079
035 _a(OCoLC)1442928126
035 9 _a(OCLCCM-Owned)1442928126
037 _a9781394214181
_bO'Reilly Media
040 _aYDX
_beng
_erda
_cYDX
_dYDX
_dDG1
_dOCLCO
_dORMDA
_dUKKRT
_dUKMGB
_dCLOUD
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041 _aeng
049 _aMAIN
050 4 _aR859.7.D35
_bB56 2024
082 0 0 _223
_a610.285
245 0 0 _aBio-inspired optimization for medical data mining /
_cedited by Sumit Srivastava... [and 4 others].
264 1 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc. ;
_aBeverly, MA :
_bScrivener Publishing LLC,
_c2024.
264 4 _c©2024
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aThis 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 _aDescription based on online resource; title from digital title page (viewed on July 10, 2024).
650 0 _aMedical informatics
_xData processing.
650 0 _aData mining.
_0http://id.loc.gov/authorities/subjects/sh97002073
655 0 _aElectronic books.
700 1 _aSrivastava, Sumit,
_eeditor.
776 0 8 _iPrint version :
_z9781394214181
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394214211
_yFull text is available at Wiley Online Library. Click here to view.
942 _2ddc
_cER