Artificial Intelligence-Based Diet: An Interventional Field Study
DOI:
https://doi.org/10.21048/ijnd.2020.57.3.25120Keywords:
Artificial Intelligence, Diet, Field Trial, Dietician.Abstract
Specialist dieticians and nutritionist are not present in every hospital of developing countries like India, where malnutrition and metabolic diseases are a big problem. Use of Artificial Intelligence (AI) to prepare a diet chart may be an answer to this problem. Pre-post analytic observational field study was done at multiple centres to evaluate and compare AI based diet accuracy with the diet advised by the dieticians. Accuracy of the Diet AI in providing counseling to the patients for improvements in nutritional choices and lifestyle was found to be high at 96%. The AI based diet plan can overcome the need of expert dieticians at remote hospitals and rural areas where trained dieticians are not available.Downloads
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Accepted 2020-06-17
Published 2020-07-30
References
Pal, A., Pari, A.K., Sinha, A. and Dhara, P.C. Prevalence of under nutrition and associated factors: A cross-sectional study among rural adolescents in West Bengal, India. Int. J. Pediat. Adolescent Med., 2017, 4, 9-18. DOI: https://doi.org/10.1016/j.ijpam.2016.08.009
Meenakshi, J. V. Trends and patterns in the triple burden of malnutrition in India. Agricul. Econom., 2016, 47, 115-134. DOI: https://doi.org/10.1111/agec.12304
Thow, A.M., Kadiyala, S., Khandelwal, S., Menon, P., Downs, S. and Reddy, K.S. Toward food policy for the dual burden of malnutrition: An exploratory policy space analysis in India. Fd. Nutr. Bull., 2016, 37, 261-274. DOI: https://doi.org/10.1177/0379572116653863
Ackerson, L. K. and Subramanian, S. V. Domestic violence and chronic malnutrition among women and children in India. Am. J. Epidemiol., 2008, 167, 1188-1196. doi:10.1093/aje/kwn049. DOI: https://doi.org/10.1093/aje/kwn049
Yount, Kathryn M., Digirolamo, Ann M., Ramakrishnan and Usha. Impacts of domestic violence on child growth and nutrition: A conceptual review of the pathways of influence. Social Sci. Med., 2011, 72, 1534-1554. doi:10.1016/j.socscimed.2011.02.042. DOI: https://doi.org/10.1016/j.socscimed.2011.02.042
Goyache, F., Bahamonde, A., Alonso, J., López, S., Coz, J.J., Quevedo, J.R., Ranilla, J., Luaces, O., ílvarez, I.G., Royo, L.J. and Díez, J. The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry. Trends in Fd. Sci. Technol., 2001, 12, 370-381. DOI: https://doi.org/10.1016/S0924-2244(02)00010-9
Tandon, N., Anjana, R.M., Mohan, V., et al. The increasing burden of diabetes and variations among the states of India: the Global Burden of Disease Study 1990-2016. Lancet Glob. Health., 2018, 6, 1352-1362.
Anchala, R., Kannuri, N.K., Pant, H., Khan, H., Franco, O.H., Di Angelantonio, E., Emanucle Di Angelantonio and Dorairaj Prabhakaran. Hypertension in India: A systematic review and meta-analysis of prevalence, awareness, and control of hypertension. J. Hypertens., 2014, 32, 1170-1177. DOI: https://doi.org/10.1097/HJH.0000000000000146
Rekha Kumari, Raushan Kumar Bharti, Kalpana Singh, Archana Sinha, Sudhir Kumar, Anand Saran, Uday Kumar. Prevalence of iron deficiency and iron deficiency anaemia in adolescent girls in a tertiary care hospital. J. Clin. Diagn. Res., 2017, 11, 04-06. DOI: https://doi.org/10.7860/JCDR/2017/26163.10325
Fox, R. and Bui, Y. An artificial intelligence approach to nutritional meal planning for cancer patients. In: Silhavy R., Senkerik R., Oplatkova Z., Prokopova Z., Silhavy P. (eds) Artificial Intelligence Perspectives and Applications. Advances in Intelligent Systems and Computing, 2015, 347. Springer, Cham.