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Predicting hospital admissions using machine learning
Heart Podcast
English - September 01, 2019 07:27 - 15 minutes - 21.8 MB - ★★★★★ - 34 ratingsScience Health & Fitness Medicine medicine health interviews bmj debates conference roundtable british medical journal Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Deep Medicine with Eric Topol, author of the Topol NHS review
Next Episode: Big data in cardiology - what you need to know
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.
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Links to published paper: https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002695