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University of Cambridge > Talks.cam > Mobile and Wearable Health Seminar Series > ML for wearables and healthcare interventions
ML for wearables and healthcare interventionsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Cecilia Mascolo. https://cl-cam-ac-uk.zoom.us/j/92219689343?pwd=Q1p1eUt4V3NORWVGM3hGUEZNV1JqQT09 Despite appearances to the contrary, people from Oxford tend to have physiology that is reasonably similar to that of the global population. This talk will describe machine learning methods constructed in collaboration with Oxford University Hospitals for developing applications based on wearables and other healthcare data, with examples of systems that are being translated into the NHS and other healthcare systems. Bio: David Clifton holds the GSK / Royal Academy of Engineering Research Chair in Clinical Machine Learning and an NIHR Research Professorship, at the Other Place, despite being born and raised in Cambridgeshire. He runs the Computational Health Informatics Lab, (unofficial tagline: “We do some things reasonably well”), within the Department of Engineering Science, and where his work focuses on (non-imaging) ML for healthcare. This talk is part of the Mobile and Wearable Health Seminar Series series. This talk is included in these lists:
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