Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities

This course focuses on using machine learning and data science for personalized medicine. The learning outcomes include understanding the challenges in existing statistical and machine learning models in medicine, learning about the AutoPrognosis method for crafting and interpreting machine learning models, and exploring the process of automating prognostic modeling. The course teaches skills such as creating and interpreting ML pipelines, utilizing ensembles, and applying automated pipeline configuration. The teaching method involves a lecture-style presentation with a focus on research findings and practical applications. The intended audience for this course includes individuals interested in machine learning, data science, and their applications in the field of medicine.