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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Machine Learning Methods in Biomedical Field
• Subtitle: Computer-Aided Diagnostics, Healthcare and Biology Applications
• Author: Ernesto Moya-Albor, Hiram Ponce, Jorge Brieva, Sandra L. Gomez-Coronel, Diego Renza Torres
• Language: English
• Binding: Hardback
• Number of pages: 400
• EAN: 9783031963278
• ID: 48706084
• Publisher: Springer, Berlin
• Weight: 1019 g
• Dimensions: 235 × 155 mm
• Published: 2025

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