Jan 04, 2025  
Rensselaer Catalog 2024-2025 
    
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Rensselaer Catalog 2024-2025
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BMED 4490 - Artificial Intelligence for Biomedical Applications

Introduction of artificial neural networks, rule/case-based reasoning, Bayesian methods, fuzzy-logic, genetic and evolutionary optimization techniques, and agents.  The course presents the evolution of artificial neural networks from its inception to the principles of deep learning, introduces rule/case-based reasoning, fuzzy-logic, genetic algorithms and particle swarm optimization methods.  Besides covering the foundation of associated methods, the course emphasizes biomedical applications and presents associated results from studies to autism, discriminating cancer types, burn severity and tissue engineering problems.

Prerequisites/Corequisites: MATH 2010  and MATH 2400   

Co-Listed: BMED 6490  

Credit Hours: 3


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