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Více informací o knize Machine Learning Methods in Biomedical Field

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Anotace knihy

This book provides an in-depth exploration of machine learning techniques and their biomedical applications, particularly in developing intelligent computer-aided diagnostic systems, creating groundbreaking healthcare technologies, uncovering novel biological applications, and fostering sustainable health solutions.
Integrating artificial intelligence, mathematical modeling, and emergent systems, this book highlights the profound impact of these advanced tools in not only enhancing problem-solving within the biomedical field but also in catalyzing the development of novel solutions.
This book is a valuable resource for readers interested in understanding the revolutionary impact of novel machine learning methodologies on the biomedical landscape. Furthermore, it offers a blend of theory and practical applications for those interested in biomedical education and training, biology, medicine, and sustainable health development.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Machine Learning Methods in Biomedical Field
• Podnázev: Computer-Aided Diagnostics, Healthcare and Biology Applications
• Autor: Ernesto Moya-Albor, Hiram Ponce, Jorge Brieva, Sandra L. Gomez-Coronel, Diego Renza Torres
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 400
• EAN: 9783031963278
• ID: 48706084
• Nakladatelství: Springer, Berlin
• Hmotnost: 1019 g
• Rozměry: 235 × 155 mm
• Rok vydání: 2025

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