Watson, DS;
Krutzinna, J;
Bruce, IN;
Griffiths, CE;
McInnes, IB;
Barnes, MR;
Floridi, L;
(2019)
Clinical applications of machine learning algorithms: beyond the black box.
BMJ
, 364
, Article l886. 10.1136/bmj.l886.
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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.
| Type: | Article |
|---|---|
| Title: | Clinical applications of machine learning algorithms: beyond the black box |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1136/bmj.l886 |
| Publisher version: | https://doi.org/10.1136/bmj.l886 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10118991 |
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