Predicting hospital admissions using machine learning

In this episode of the Heart podcast, Digital Media Editor, Dr James Rudd, is joined by Professor Kazem Rahimi from Oxford University (https://www.wrh.ox.ac.uk/team/kazem-rahimi). They discuss his pioneering work in predicting emergency admissions from electronic healthcare datasets using a machine learning approach. If you enjoy the show, please subscribe to the podcast to get episodes automatically downloaded to your phone and computer. Also, please consider leaving us a review at https://itunes.apple.com/gb/podcast/heart-podcast/id445358212?mt=2

Links to published paper: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002695