Clinical applications of machine learning algorithms: beyond the black box

Watson, D. S., Krutzinna, J., Bruce, I. N., Griffiths, C. E.M., McInnes, I. B. , Barnes, M. R. and Floridi, L. (2019) Clinical applications of machine learning algorithms: beyond the black box. British Medical Journal, 364, l886. (doi: 10.1136/bmj.l886) (PMID:30862612)

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Abstract

To maximise the clinical benefits of machine learning algorithms, we need to rethink our approach to explanation, argue David Watson and colleagues.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:McInnes, Professor Iain
Authors: Watson, D. S., Krutzinna, J., Bruce, I. N., Griffiths, C. E.M., McInnes, I. B., Barnes, M. R., and Floridi, L.
College/School:College of Medical Veterinary and Life Sciences > School of Infection & Immunity
Research Centre:College of Medical Veterinary and Life Sciences > School of Infection & Immunity > Centre for Immunobiology
Journal Name:British Medical Journal
Publisher:BMJ Publishing Group
ISSN:1759-2151
ISSN (Online):1756-1833
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in British Medical Journal 364:l886
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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