Precision Nutrition and Artificial Intelligence Mobile Apps: A Narrative Review
Author:
Affiliation:
1. Department of Public Health, AUSL-IRCCS of Reggio Emilia, 42122 Reggio Emilia, Italy
2. Cardiology Unit, University Hospital of Parma, 43126 Parma, Italy
Publisher
MDPI
Link
https://www.mdpi.com/2673-9976/29/1/25/pdf
Reference20 articles.
1. Kirk, D., Catal, C., and Tekinerdogan, B. (2021). Precision Nutrition: A Systematic Literature Review. Comput. Biol. Med., 133.
2. Precision Nutrition-the Answer to “What to Eat to Stay Healthy”;Rodgers;JAMA,2020
3. Artificial Intelligence and the Public Sector—Applications and Challenges;Wirtz;Int. J. Publ. Adm.,2018
4. de Moraes Lopes, M.H.B., Ferreira, D.D., Ferreira, A.C.B.H., da Silva, G.R., Caetano, A.S., and Braz, V.N. (2020). Artificial Intelligence in Precision Health, Elsevier.
5. Popular Nutrition-Related Mobile Apps: A Feature Assessment;Franco;JMIR Mhealth Uhealth,2016
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