DMED 605 Machine Learning for Biomedical Data

This course provides a comprehensive introduction to machine learning (AI) techniques for analyzing biomedical data. Students will learn supervised and unsupervised learning algorithms, including deep learning frameworks for medical imaging and genomic applications. Topics include feature engineering, model evaluation, and interpretability in healthcare contexts.

Credits

3

Offered

Spring

Outcomes

1. 1. Implement machine learning models for biomedical applications.
2. 2. Evaluate model performance and interpret results in a healthcare context.
3. 3. Design AI-driven solutions for biomedical data challenges.