Best Practices for Prototyping Machine Learning Models for Healthcare

The talk focuses on supervised learning from the Electronic Health Records, covering cohort definition, data preparation and performance metrics. There are many ways, often less intuitive, to overfit in this domain. The material should be useful to machine learning practitioners dealing with very unbalanced data in time domain.