To help health care professionals find the connections between health conditions, risk and treatment plans, researchers at the University of Texas Medical Branch developed machine learning methods that can automatically find conditions that frequently go together in national level data, and used them to predict the risk of a patient in the clinic, and for designing targeted treatments.