The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application. Issue 1 (2022)

Record Type:
Journal Article
Title:
The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application. Issue 1 (2022)
Main Title:
The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application
Authors:
Hart, K.H.
Wilson-Barnes, S.
Stefanidis, K.
Tsatsou, D.
Gynopoulos, L.
Dimitropoulos, K.
Rouskas, K.
Argiriou, N.
Leoni, R.
Russell, D.
Konstantinova, J.
Merry, N.
Lalama, E.
Pfeiffer, A.
Hassapidou, M.
Pagkalos, I.
Patra, E.
Buys, R.
Cornelissen, V.
Dias, S. Balula
Batista, A.
Mantovani, E.
Brkic, B.
Lanham-New, S.
Abstract:
Is Part Of:
Proceedings of the Nutrition Society. Volume 81:Issue 1(2022) Supplement OCE1
Journal:
Proceedings of the Nutrition Society
Issue:
Volume 81:Issue 1(2022) Supplement OCE1
Issue Display:
Volume 81, Issue 1 (2022)
Year:
2022
Volume:
81
Issue:
1
Issue Sort Value:
2022-0081-0001-0000
Page Start:
Page End:
Publication Date:
2022
Subjects:
Nutrition -- Congresses
612.30993
Journal URLs:
http://journals.cambridge.org/action/displayJournal?jid=PNS ↗
DOI:
10.1017/S0029665122000374 ↗
Languages:
English
ISSNs:
0029-6651
Deposit Type:
Legaldeposit
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library STI - ELD Digital store
Ingest File:
21160.xml