BME 677 - Machine Learning for Biomedical Applications

3 units (fi 6)(EITHER, 3-0-0)

Faculty of Engineering

Applications of machine learning tools to real-world problems in biomedical engineering including diagnostic and prognostic applications. An introduction to machine learning. Machine learning tools: regression and classification; manifold learning and dimensional reduction; decision trees and ensemble learning; unsupervised learning and clustering; feature selection and feature extraction; neural networks and deep learning. Biomedical applications: cancer, cardiovascular disease, diabetes, neurological diseases and infectious diseases.