A hands-on workshop on using SAS® machine learning to predict stent failure

EPSRC Sensor CDT, University of Cambridge

Based on popular demand, we are delighted to present a hands-on workshop on how to perform advanced data analytics using SAS®.

IT Suite, Dept Chemical Engineering and Biotechnology, University of Cambridge

In this workshop, Kayne Putman, Haidar Altaie and Geoffrey Taylor from SAS will demonstrate how SAS® machine learning can be used to explore and understand the drivers of stent device failure as a case study.A light lunch will be provided after the event.This event is organised by the <a href="https://cdt.sensors.cam.ac.uk/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Sensor CDT</a> in collaboration with the <a href="https://otr.medschl.cam.ac.uk/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Office for Translational Research</a>.

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A hands-on workshop on using SAS® machine learning to predict stent failure

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A hands-on workshop on using SAS® machine learning to predict stent failure

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