ARCHIVES

1. “Malnutrition in Children”. (n.d.). Retrieved June 13, 2019, from https://data.unicef.org/topic/nutrition/malnutrition/.
2. “Joint child malnutrition estimates - Levels and trends (2019 edition)". (2019, June 06). Retrieved June 13, 2019, from
https://www.who.int/nutgrowthdb/estimates2018/en/.
3. Victora,C. G., Adair, L., Fall,C., Hallal, P.C., Martorell, R., Richter, L., & Sachdev, H. S. (2008). "Maternal and child undernutrition:
consequences for adult health and human capital”. The Lancet, 371(9609), 340–357.
4. Ministry of Public Health, Afghanistan. (2014). “Integrated Guidelines for the Management of Acute Malnutrition”.
5. Black, R. E., Allen, L. H., Bhutta, Z. A., Caulfield, L. E., De Onis, M., Ezzati, M., & Maternal and Child Undernutrition Study Group.
(2008). "Maternal and child undernutrition: global and regional exposures and health consequences”. The lancet, 371(9608), 243-260.
6. Nandy, S., Irving, M., Gordon, D., Subramanian, S. V., & Smith, G. D. (2005). "Poverty, child undernutrition and morbidity: new
evidence from India”. Bulletin of the World Health Organization, 83, 210-216.
7. Maleta K. (2006). “Undernutrition”. Malawi medical journal: the journal of Medical Association of Malawi, 18(4), 189–205.
8. “Malnutrition: Afghanistan’s silent emergency”. Retrieved June 13, 2019, from https://www.unicef.org/afghanistan/nutrition.
9. Ministry of Public Health, Afghanistan. (2019). "Afghanistan Nutrition Cluster, 2018 annual report”.
10. Ministry of Public Health (MOPH) - Afghanistan. (2004). 2004 "Afghanistan National Nutrition Survey”.
11. Ministry of Public Health (MOPH) - Afghanistan. (2013). 2013 "Afghanistan National Nutrition Survey”.
12. Ministry of Public Health (MoPH), ICF, Central Statistics Organization. (2017). “Afghanistan Demographic and Health Survey
2015”.
13. Higgins-Steele, A., Mustaphi, P., Varkey, S., Ludin, H., Safi, N., & Bhutta, Z. A. (2016). "Stop stunting: situation and way forward to
improve maternal, child and adolescent nutrition in Afghanistan”. Maternal & Child Nutrition, 12, 237–241.
14. Akseer, N., Bhatti, Z., Mashal, T., Soofi, S., Moineddin, R., Black, R. E., & Bhutta, Z. A. (2018). "Geospatial inequalities and
determinants of nutritional status among women and children in Afghanistan”: an observational study. The Lancet GlobalHealth,
6(4), e447–e459.
15. Mashal, T., Takano, T., Nakamura, K., Kizuki, M., Hemat, S., Watanabe, M., & Seino, K. (2008). "Factors associated with the
health and nutritional status of children under 5 years of age in Afghanistan: family behaviour related to women and past experience
of war-related hardships”. BMC Public Health, 8(1).
16. Ministry of Public Health, Afghanistan. (2018). “Integrated Management of Acute Malnutrition National Guidelines”. Kabul,
Afghanistan: Public Nutrition Directorate.
17. Khare, S., Kavyashree, S., Gupta, D., & Jyotishi, A. (2017). "Investigation of Nutritional Status of Children based on Machine
Learning Techniques using Indian Demographic and Health Survey Data”. Procedia Computer Science, 115(2017), 338–349.
18. Das, S., Hossain, M. Z., & Islam, M. A. (2008). "Predictors of child chronic malnutrition in Bangladesh”. Proceedings of the Pakistan
Academy of Sciences 45(3): 137-155.
19. Shahriar, M., Iqubal, M. S., Mitra, S., & Das, A. K. (2019, July). "A Deep Learning Approach to Predict Malnutrition Status of 0-59
Month's Older Children in Bangladesh”. In 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and
Communications Technology (IAICT) (pp. 145-149). IEEE.
20. Senthilkumar, D., & Paulraj, S. (2015, March). "Prediction of low birth weight infants and its risk factors using data mining
techniques”. In Proceedings of the 2015 International Conference on Industrial Engineering and Operations Management (pp. 186-
194).
21. Ariyadasa, S. N., Munasinghe, L. K., Senanayake, S. H., & Fernando, M. G. N. A. S. (2013, January). “Knowledge Extraction to
Mitigate Child Malnutrition in Developing Countries (Sri Lankan Context)”. In 2013 4th International Conference on Intelligent
Systems, Modelling and Simulation (pp. 321-326). IEEE.
22. Reis, R., Peixoto, H., Machado, J., & Abelha, A. (2017). "Machine Learning in Nutritional Follow-up Research”. Open Computer
Science, 7(1), 41–45.
23. Markos, Z. (2014). "Predicting Under Nutrition Status of Under-Five Children Using Data Mining Techniques: The Case of 2011
Ethiopian Demographic and Health Survey”. Journal of Health & Medical Informatics, 5(2).
24. Thangamani, D., & Sudha, P. (2014). “Identification of malnutrition with use of supervised datamining techniques–decision trees
and artificial neural networks”. Int J Eng Comput Sci, 3(September 9), 8236-824.
25. Hayat, C., & Abian, B. (2018, October). “The Modeling of Artificial Neural Network of Early Diagnosis for Malnutrition with
Backpropagation Method”. In 2018 Third International Conference on Informatics and Computing (ICIC) (pp. 1-7). IEEE.
26. Winiarti, S., Yuliansyah, H., & Purnama, A. A. (2018). "Identification of Toddlers’ Nutritional Status using Data Mining Approach”.
International Journal of Advanced Computer Science and Applications (IJACSA), 9(1), 164-169.
27. Cios, K. J., Pedrycz, W., Swiniarski, R. W., & Kurgan, L. A. (2007). “Data Mining: A Knowledge Discovery Approach”.
28. “WHO Anthro Survey Analyser and other tools”. (2019, June 7). Retrieved September 3, 2019, from
https://www.who.int/childgrowth/software/en/.
29. Nitesh V. Chawla et. al. (2002). “Synthetic Minority Over-Sampling Technique”. Journal of Artificial Intelligence Research. 16:321-
3.
30. World Health Organization. (2010). “Nutrition Landscape Information System. Geneva, Switzerland”: WHO.