Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/41573
Title: Artificial neural networks in diabetes health care professional education: Effective Diabetes Education Now (EDEN)
Authors: Jones, Petra
Davies, Melanie
Khunti, Kamlesh
Seidu, Sam
Chatterjee, Sudesna
First Published: 13-Oct-2017
Publisher: Wiley
Citation: Practical Diabetes, 2017, 34 (8), pp. 268-270a
Abstract: Artificial intelligence may well have the potential to be the way forward in providing effective diabetes education for health professionals, alleviating NHS costs and aiming at optimum diabetes care. The Leicester authors here share their experiences in building a functioning model for education based on the new technology, their project’s outcomes, and plans for the future to help ensure high-quality diabetes care.
DOI Link: 10.1002/pdi.2134
ISSN: 2047-2897
eISSN: 2047-2900
Links: https://onlinelibrary.wiley.com/doi/abs/10.1002/pdi.2134
http://hdl.handle.net/2381/41573
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2017, Wiley. Deposited with reference to the publisher’s open access archiving policy. (http://www.rioxx.net/licenses/all-rights-reserved)
Description: The file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.
Appears in Collections:Published Articles, Dept. of Health Sciences

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