Deep Learning for Healthcare

3 Credits

This course will convey the specialized methods of deep learning in the context of health data. Through health-related case studies, students will learn to engage deep learning models and healthcare applications such as clinical predictive models, computational phenotyping, patient risk stratification, treatment recommendation, and medical imaging analysis. The course will engage with real-world data sets via computing using Jupyter and PyTorch, ensuring that students acquire the skills necessary to apply deep learning techniques to health data. Prerequisites: BSTA 142