Open Access
E3S Web Conf.
Volume 229, 2021
The 3rd International Conference of Computer Science and Renewable Energies (ICCSRE’2020)
Article Number 01060
Number of page(s) 6
Published online 25 January 2021
  1. World Health Organization, “Malnutrition, ” 2020, (Online). Available: h [Google Scholar]
  2. C. Díaz-Méndez, I. García-Espejo, and S. Otero-Estévez (2018) Discourses on scarcity: strategies for managing food deprivation in times of crisis, Empiria. Rev. Metodol. Sciences Soc., no. 40, p. 85. doi: 10.5944/empiria.40.2018.22012. [Google Scholar]
  3. Z. E. Aguirre Paredes and S. Ccoto Huallpa (2018) Level of knowledge about healthy eating and degree of acceptability of menus, by resident students of the Food Service of a private university in Lima, Rev. Científica Ciencias la Salud, Vol. 10, no. 2, pp. 59–65. doi: 10.17162/rccs.v10i2.963. [Google Scholar]
  4. C. Chen, M. Karvela, M. Sohbati, T. Shinawatra and C. Toumazou. (2018). PERSON — Personalized Expert Recommendation System for Optimized Nutrition. IEEE Transactions on Biomedical Circuits and Systems, Vol. 12, no. 1, pp. 151-160. Recovered from [CrossRef] [PubMed] [Google Scholar]
  5. Díaz-Beltrán, M. D. P., & Caicedo-Ortiz, P. N. (2019). Healthy eating promotion at restaurants: qualitative research, a study of Colombian cases; Promotion of healthy eating in restaurants: qualitative study of Colombian case studies. 23 (4). Recovered from [Google Scholar]
  6. H. Jiang, J. Starkman, M. Liu and M. Huang (2018). Food Nutrition Visualization on Google Glass: Design Tradeoff and Field Evaluation. IEEE Consumer Electronics Magazine, Vol. 7, no. 3, pp. 21-31. Retrieved from [CrossRef] [Google Scholar]
  7. Sodjinou, R., Bosu, W. K., Fanou, N., Déart L., Kupka, R., Tchibindat, F., & Baker, S. (2014). A systematic assessment of the current capacity to act in nutrition in West Africa: Crosscountry similarities and differences. Global Health Action, 7 (1) Recovered from [Google Scholar]
  8. McNamara, J. P. (2012). Ruminant Nutrition Symposium: A systems approach to integrating genetics, nutrition, and metabolic efficiency in dairy cattle1-3. Journal of Animal Science, 90 (6), 1846-54. Recovered from [CrossRef] [PubMed] [Google Scholar]
  9. Moreno, Begoña, Muñoz, Maximiliano, Cuellar, Javier, Domancic, Stefan, & Villanueva, Julio. (2018). Systematic Reviews: definition and basic notions. Clinical journal of periodontics, implantology and oral rehabilitation, 11 (3), 184-186. Recovered from [Google Scholar]
  10. Gillespie, S., & van den Bold, M. (2017). Agriculture, food systems, and nutrition: Meeting the challenge. Global Challenges, 1 (3) Retrieved from [Google Scholar]
  11. López, A. F., Teresa, M., Infantil, E., & Educación, M. De. (2018). Intervention proposal to promote health and healthy eating habits from the Early Childhood Education stage. Educational publications. 139-148. Retrieved from [Google Scholar]
  12. Haddad, L. (2017). How to make food systems more nutritionsensitive. Annals of Nutrition & Metabolism, 71, 27. Retrieved from [Google Scholar]
  13. Sundaravadivel, P., Kesavan, K., Kesavan, L., Mohanty, S. P., & Kougianos, E. (2018). Smart-log: A deep-learning based automated nutrition monitoring system in the IoT. IEEE Transactions on Consumer Electronics, 64 (3), 390-398. Recovered from [CrossRef] [Google Scholar]
  14. L. Jiang, B. Qiu, X. Liu, C. Huang and K. Lin (2020). DeepFood: Food Image Analysis and Dietary Assessment via Deep Model. IEEE Access, Vol. 8, pp. 47477-47489. Recovered from [CrossRef] [Google Scholar]
  15. Claudia Troncoso-Pantoja. (2019). Traditional foods and healthy eating: the example of the Mediterranean diet. Medical Horizon, 19 (3), 72-77. Recovered from [Google Scholar]
  16. Sadegholvad, S., Yeatman, H., Omidvar, N., Parrish, A., & Worsley, A. (2017). Essential nutrition and food systems components for school curricula; views from experts in iran. Iranian Journal of Public Health, 46 (7), 938-947. Retrieved from [PubMed] [Google Scholar]
  17. Sodjinou, R., Bosu, W. K., Fanou, N., Déart L., Kupka, R., Tchibindat, F., & Baker, S. (2014). A systematic assessment of the current capacity to act in nutrition in West Africa: Crosscountry similarities and differences. Global Health Action, 7 (1) Recovered from [Google Scholar]
  18. Uesugi, K. H., Dattil, A. M., Black, M. M., & Saavedra, J. M. (2016). Design of a digital-based, multicomponent nutrition guidance system for prevention of early childhood obesity. Journal of Obesity. Recovered from [Google Scholar]
  19. Pingali, P., & Sunder, N. (2017). Transitioning toward nutritionsensitive food systems in developing countries. Annual Review of Resource Economics, 9, 439. Retrieved from [CrossRef] [Google Scholar]
  20. López Rubio, Susan. (2019). Development of a healthy diet for boys and girls in Primary Education. Educational publications. 104, 552-560. Recovered from [Google Scholar]
  21. White, A., Gallegos, D., & Hundloe, T. (2011). The impact of fresh produce specifications on the Australian food and nutrition system: A case study of the north queensland banana industry. Public Health Nutrition, 14 (8), 1489-95. Recovered from [CrossRef] [PubMed] [Google Scholar]
  22. Glassman, K., Phillips, W., & Brewer, A. (2012). Cost-benefit analysis of an enteral nutrition feeding system. Journal of the Academy of Nutrition and Dietetics, 112 (9) Retrieved from 6937 [CrossRef] [Google Scholar]
  23. Fernández Valdivia, A., Rodríguez Rodríguez J. M., Aguilera, B. V., Lobo Támer G., Pérez de la Cruz, A. J., & García Larios, J. V. (2015). Validation of a computer program for detection of hospital malnutrition and analysis of hospital cost. Nutricion Hospitalaria, 32 (1), 389–393. Recovered from [PubMed] [Google Scholar]
  24. Z. Lei et al. (2018). Mining of Nutritional Ingredients in Food for Disease Analysis. IEEE Access, Vol. 6, pp. 52766-52778. Recovered from [CrossRef] [Google Scholar]
  25. Godoy Gonzáles, E. R., Concori Cori, G. G., Llanca Ramos, L. H., & Salazar Anco, M. Y. (2020). Relationship between the level of knowledge and attitudes about healthy eating and the level of anemia in pregnant women in Tacna. Basadrina Medical Journal, 13 (2), 41-46. Recovered from [Google Scholar]
  26. P. Pouladzadeh, S. Shirmohammadi and R. Al-Maghrabi (2014). Measuring Calorie and Nutrition From Food Image. IEEE Transactions on Instrumentation and Measurement, Vol. 63, no. 8, pp. 1947-1956. Retrieved from [CrossRef] [Google Scholar]
  27. Bilali, H. E., Callenius, C., Strassner, C., & Probst, L. (2019). Food and nutrition security and sustainability transitions in food systems. Food and Energy Security, 8 (2). Recovered from [Google Scholar]
  28. Roldán-Jaramillo, P. (2015). Nutrition, health and development. CES Public Health Magazine, 6 (1), 3-4. Retrieved from [Google Scholar]
  29. Ruiz de la Fuente, M., Torres Caro, A., Lara Quezada, C., Torres Muñoz F., Rodriguez Fernández A., & Parra Flores, J. (2017). Nutritional status of schoolchildren in the 4th year of basic education and its relationship with income, knowledge of healthy eating, nutrition and perception of their mothers. Perspectives in Human Nutrition, 18 (2), 143–153. Recovered from [CrossRef] [Google Scholar]
  30. Ruiz-Ruiz, J. (2018). Mortality due to malnutrition in children under five years of age. Poverty and regional developments. Colombia. 2003-2012. Economy, Society and Territory, 18 (56), 35–75. Recovered from [Google Scholar]
  31. F. Zhu et al. (2010). The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation. IEEE Journal of Selected Topics in Signal Processing, Vol. 4, no. 4, pp. 756-766. Retrieved from [CrossRef] [PubMed] [Google Scholar]
  32. Salvador, R. C. (2017). Assessment system in problem-based learning (PBL) of nutrition students. Voices of Education, 2 (4), 157-163. Retrieved from [Google Scholar]
  33. G. Márquez, H. Astudillo and C. Taramasco (2020). Security in Telehealth Systems From a Software Engineering Viewpoint: A Systematic Mapping Study. IEEE Access, Vol. 8, pp. 10933-10950. Recovered from [CrossRef] [Google Scholar]
  34. Piedad Roldán Jaramillo. (2016). Food and human nutrition: Permanent issues on health agendas. CES Public Health Magazine, 7 (1), 63-71. Retrieved from [Google Scholar]
  35. Cawley, J., Sweeney, M., Sobal, J., Just, D., Kaiser, H., Schulze, W., Wansink, B. (2015). The impact of a supermarket nutrition rating system on purchases of nutritious and less nutritious foods. Public Health Nutrition, 18 (1), 8-14. Recovered from [CrossRef] [PubMed] [Google Scholar]
  36. Hazel, E., Wilson, E., Adebusoye, A., Sawadogo-Lewis Talata, & Heidkamp, R. (2018). Building integrated data systems for health and nutrition program evaluations: Lessons learned from a multi-country implementation of a DHIS 2-based system. Journal of Global Health, 8 (2) Retrieved from [CrossRef] [Google Scholar]
  37. Goiana-Da-Silva, F., Cruz-e-Silva, D., Allen, L., Gregório, MJ, Severo, M., Nogueira PJ, Nunes AM, Graça P., Lopes, C., Miraldo, M., Breda, J., Wickramasinghe, K., Darzi, A., Araújo F., & Mikkelsen, B. (2019). Modeling impacts of food industry co-regulation on noncommunicable disease mortality, Portugal. Bulletin of the World Health Organization, 97 (7), 450–459. Recovered from [CrossRef] [PubMed] [Google Scholar]
  38. Brown, T. H., Hernandez, D. R., & Vaughn, M. B. (2012). Work smarter, not harder: Madigan healthcare system implements the use of a nutrition management information system to decrease food purchases and improve inventory control. Journal of the Academy of Nutrition and Dietetics, 112 (9) Retrieved from 6937 [CrossRef] [Google Scholar]
  39. Landy, D. C., Kurtz, J. M., Miller, T. L., & Ludwig, D. A. (2012). Statistical program to automate the creation of healthy eating index scores using nutrition data system for research output. Journal of the Academy of Nutrition and Dietetics, 112 (9) Retrieved from 6937 [CrossRef] [Google Scholar]
  40. S. Turmchokkasam and K. Chamnongthai (2018). The Design and Implementation of an Ingredient-Based Food Calorie Estimation System Using Nutrition Knowledge and Fusion of Brightness and Heat Information. IEEE Access, Vol. 6, pp. 46863-46876. Recovered from [CrossRef] [Google Scholar]
  41. Fuentes Cuiñas, A. A. (2019). Changes in consumption and perceptions around the healthy diet of traditional milk and plantbased beverages. RIVAR (Santiago), 6 (17), 1–14. Recovered from [CrossRef] [Google Scholar]
  42. N. Hezarjaribi, S. Mazrouee and H. Ghasemzadeh (2018). Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data. IEEE Journal of Biomedical and Health Informatics, Vol. 22, no. 1, pp. 252-264. Retrieved from [CrossRef] [PubMed] [Google Scholar]
  43. Katz, D., Lupton, J. R., & Sutherland, L. A. (2010). The expert weighs in: Nutrition scoring systems. Obesity and Weight Management, 6 (2), 62-68. Recovered from [CrossRef] [Google Scholar]
  44. Ibarra-Mora, J. L., Ventura Vall-Llovera, C., & HernándezMosqueira, C. (2019). Healthy lifestyle habits of physical activity, diet, sleep and consumption of tobacco and alcohol in Chilean adolescent students. Sportis. Scientific Journal of School Sport, Physical Education and Psychomotricity, 5 (1), 70–84. Recovered from [CrossRef] [Google Scholar]
  45. Lira Briceño, P. (2011). Back to basics. ¿. And you, you give credit to credit. GOCHICOA M. Qaim, “Conference on‘ Sustainable food consumption ’Globalization of agrifood systems and sustainable nutrition, ” Proc. Nutr. Soc., Vol. 76, no. 1, pp. 12–21, 2017, doi: 10.1017/S0029665116000598. [Google Scholar]
  46. Burke, Joanne DelaneyPhD, R.D., L.D,. (2012). Bringing the sustainability gap: Food systems and the nutrition professional. Nutrition Today, 47 (4), 155. Retrieved from [CrossRef] [Google Scholar]
  47. R. Yera Toledo, A. A. Alzahrani and L. Martínez (2019). A Food Recommender System Considering Nutritional Information and User Preferences. IEEE Access, Vol. 7, pp. 96695-96711, 2019. Recovered from [CrossRef] [Google Scholar]
  48. Tuffrey, V., & Hall, A. (2016). Methods of nutrition surveillance in low-income countries. Emerging Themes in Epidemiology, 13. Retrieved from [PubMed] [Google Scholar]
  49. Y. Han (2020). Artificial Intelligence Recommendation System of Cancer Rehabilitation Scheme Based on IoT Technology. IEEE Access, Vol. 8, pp. 44924-44935. Retrieved from [CrossRef] [Google Scholar]
  50. Din, Z., Pervez, L., Amir, A., Abbas, M., Khan, I., Iqbal, Z., Iqbal, M., & Din, Z. U. (2018). Parasitic infections, malnutrition and anemia among preschool children living in rural areas of Peshawar, Pakistan. Nutricion Hospitalaria, 35 (5), 1145–1152. Recovered from [CrossRef] [PubMed] [Google Scholar]
  51. Unicef. (2019). Poor diet harms the health of children around the world, UNICEF warns. Retrieved from C. of studies on child nutrition D.A.O. Putting away. (2013). Nutritional profiling systems. Vol, 53 no. 9, 1689-1699. Recovered from 10.1017/CBO9781107415324.004. [Google Scholar]
  52. I. J. Pérez-López, P. T. Sánchez, and M. Delgado-Fernández (2015). “Effects of school-based physical activity and nutrition programs in Spanish adolescents: Systematic review, ” Nutr. Hosp., Vol. 32, no. 2, pp. 534–544. doi: 10.3305/nh.2015.32.2.9144. [PubMed] [Google Scholar]
  53. Serrano, N., Hernantes, J., & Gallardo, G. (2013). Mobile web apps. IEEE software, 30 (5), 22-27. [CrossRef] [Google Scholar]

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