Machine Learning in Biomedical and Health Informatics : Current Applications and Challenges
Apple Academic Press Inc.
Explore the intersection of advanced computation and clinical science with Machine Learning in Biomedical and Health Informatics. This comprehensive volume provides a deep dive into the current applications, methodologies, and technical challenges facing researchers and professionals in the field of health informatics. Edited by Sudip Kumar Sahana, this text offers critical insights into how machine learning models are transforming patient care, medical diagnostics, and data management. It covers key topics including predictive modeling, medical imaging analysis, and the deployment of intelligent systems within healthcare frameworks. This work is an essential resource for students, academics, and industry practitioners seeking to understand the evolving landscape of AI-driven biomedical research. Product Summary: Machine Learning in Biomedical and Health Informatics, technical handbook on medical data analysis, AI in healthcare applications, research methodologies in health informatics.
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