Bio-Inspired Optimization for Medical Data -

Bio-Inspired Optimization for Medical Data

Buch | Hardcover
332 Seiten
2024
Sybex Inc.,U.S. (Verlag)
978-1-394-21418-1 (ISBN)
194,50 inkl. MwSt
Bio-Inspired Optimization for Medical Data 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. This is an indispensable resource that will drive significant changes in the healthcare sector.

Sumit 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 of research involve algorithms, data science, knowledge, engineering education, etc. He has published more than 70 research papers in review journals. He is a speaker and a guest editor for several journals.   Abhineet Anand, Ph.D., is a professor in computer science and engineering at Chandigarh University, Mohali, Punjab. He is also the director of the institution. His research includes artificial intelligence, machine learning, cloud computing, optical fiber, etc. He has published in various international journals and conferences, along with four book chapters.   Abhishek Kumar, Ph.D., is the R&D coordinator and assistant professor at Chithara University, Himachal Pradesh, India. His research areas include artificial intelligence, image processing, computer vision, data mining, and machine learning. He has been a session chair and keynote speaker at international conferences. He received the Sir CV Raman National Award for 2018 in the Young Researcher and Faculty Category from the IJRP Group.   Bhavna Saini, Ph.D., completed his Ph.D. in the Faculty of Engineering at the Manipal University Jaipur, Rajasthan, India. He is an assistant professor at Central University, Rajasthan, India. His areas of research include data management systems, machine learning, computer vision, etc. He has numerous books and research papers at national and international levels. His work on face recognition and fingerprint recognition has been cited in many reputed research works.   Pramod Singh Rathore, Ph.D., works as an assistant professor in the Department of Computer and Communication Engineering, Manipal University, Jaipur, India. His research interests include NS2, computer networks, mining, and DBMS. He serves on the editorial and advisory committees of the Global Journal Group and is also a member of various national and international professional societies in the field of engineering and research.

Erscheint lt. Verlag 3.11.2024
Verlagsort New York
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
ISBN-10 1-394-21418-9 / 1394214189
ISBN-13 978-1-394-21418-1 / 9781394214181
Zustand Neuware
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