Asselbergs, FW;
Meijboom, FJ;
(2019)
Big data analytics in adult congenital heart disease: why coding matters.
European Heart Journal
, 40
(13)
pp. 1078-1080.
10.1093/eurheartj/ehz089.
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Abstract
This editorial refers to ‘Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients’†, by G.-P. Diller et al., on page 1069.
| Type: | Article |
|---|---|
| Title: | Big data analytics in adult congenital heart disease: why coding matters |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/eurheartj/ehz089 |
| Publisher version: | https://doi.org/10.1093/eurheartj/ehz089 |
| 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 > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10076628 |
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