Scalable and Distributed Individualized Treatment Rules for Massive Datasets

This is like a super-scalable recommendation engine for medicine: given huge amounts of patient data and treatment histories, it learns rules for which treatment is likely best for each individual person, and can do this efficiently even when the dataset is too big for a single machine.