"Obesity and Overweight," World Health Organization, 9 June 2021. [Online]. Available: Article (CrossRef Link) [Accessed 23 December 2021].

Global health risks: mortality and burden of disease attributable to selected major risks, World Health Organization, 2009.

L. N. Borrell and L. Samuel, "Body Mass Index Categories and Mortality Risk in US Adults: The Effect of Overweight and Obesity on Advancing Death," American journal of public health, vol. 104, no. 3, pp. 512-519, March 2014.

S. V. Miklishanskaya, L. V. Solomasova and N. A. Mazur, "Types of obesity and their prognostic value," Obesity Medicine, p. 100350, 2021.

"Obesity," Centers for Disease Control and Prevention, 21 September 2021. [Online]. Available: Article (CrossRef Link) [Accessed 23 December 2021].

R. C. Whitaker, J. A. Wright, M. S. Pepe, K. D. Seidel and W. H. Dietz, "Predicting obesity in young adulthood from childhood and parental obesity," New England journal of medicine, vol. 337, no. 13, pp. 869-873, 25 September 1997.

N. A. Khan, L. B. Raine, E. S. Drollette, M. R. Scudder, M. B. Pontifex, D. M. Castelli, S. M. Donovan, E. M. Evans and C. H. Hillman, "Impact of the FITKids Physical Activity Intervention on Adiposity in Prepubertal Children," vol. 133, no. 4, pp. 875-883, 1 April 2014.

R. C. Mollard, M. Senechal, A. C. Maclntosh, J. Hay, B. A. Wicklow, K. D. M. Wittmeier, E. A. C. Sellers, H. J. Dean, L. Ryner, L. Berard and J. M. McGavock, "Dietary determinants of hepatic steatosis and visceral adiposity in overweight and obese youth at risk of type 2 diabetes," American Journal of Clinical Nutrition, vol. 99, no. 4, pp. 804-812, April 2014.

R. R. Wing, P. Bolin, F. L. Brancati, G. A. Bray, J. M. Clark, M. Coday, R. S. Crow, J. M. Curtis, C. M. Egan, M. A. Espeland, M. Evans, J. P. Foreyt, S. Ghazarian, E. W. Gregg, B. Harrison, H. P. Hazuda, J. O. Hill, E. S. Horton, V. S. Hubbard, J. M. Hubbard, R. W. Jeffery, K. C. Johnson, S. E. Kahn, A. E. Kitabchi, W. C. Knowler, C. E. Lewis, B. J. Maschak-Carey, M. G. Montez, A. Murillo, D. M. Nathan, J. Patricio, A. Peters, X. Pi-Sunyer, H. Pownall, D. Reboussin, J. G. Regensteiner, A. D. Rickman, D. H. Ryan, M. Safford, T. A. Wadden, L. E. Wagenknecht, D. S. West, D. F. Williamson and S. Z. Yanovski, "Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes," The New England Journal of Medicine, vol. 369, no. 2, pp. 145-154, 11 July 2013.

T. A. Wadden, S. Volger, D. B. Sarwer, M. L. Vetter, A. G. Tsai, R. I. Berkowitz, S. Kumanyika, K. H. Schmitz, L. K. Diewald, R. Barg, J. Chittams and R. H. Moore, "A Two-Year Randomized Trial of Obesity Treatment in Primary Care Practice," New England Journal of Medicine, vol. 365, no. 21, pp. 1969-1979, 24 November 2011.

R. D. H. Devi, A. Bai and N. Nagarajan, "A novel hybrid approach for diagnosing diabetes mellitus using farthest first and support vector machine algorithms," Obesity Medicine, p. 100152, 2020.

H. A. Afolabi, Z. B. Zakaria, M. N. M. Hashim, C. R. Vinayak and A. B. A. Shokri, "Body Mass Index and predisposition of patients to knee osteoarthritis," Obesity Medicine, p. 100143, 2019.

S. L. V. N. Filho, F. C. S. d. P. Gonçalves, P. I. C. de Lira, A. M. Ribeiro, S. H. Eickmann and M. d. C. Lima, "Birth weight and postnatal weight gain as predictors of abdominal adiposity in childhood and adolescence: A cohort study in northeast Brazil," Obesity Medicine, p. 100379, 2022.

"Estimation of obesity levels based on eating habits and physical condition Data Set," 27 August 2019. [Online]. Available: Article (CrossRef Link) [Accessed 23 December 2021].

Y. Celik, S. Guney and B. Dengiz, "Obesity Level Estimation based on Machine Learning Methods and Artificial Neural Networks," in 2021 44th International Conference on Telecommunications and Signal Processing (TSP), Brno, Czech Republic, 2021.

F. Ferdowsy, K. S. A. Rahi, M. I. Jabiullah and M. T. Habib, "A machine learning approach for obesity risk prediction," Current Rin Behavioral Sciences, vol. 2, November 2021.

X. Pang, C. B. Forrest, F. Lê-Scherban and A. J. Masino, "Prediction of early childhood obesity with machine learning and electronic health record data," International Journal of Medical Informatics, vol. 150, June 2021.

Z. Zheng and K. Ruggiero, "Using machine learning to predict obesity in high school students," in 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, USA, 2017.

S. A. Thamrin, D. S. Arsyad, H. Kuswanto, A. Lawi and S. Nasir, "Predicting Obesity in Adults Using Machine Learning Techniques: An Analysis of Indonesian Basic Health R2018," vol. 8, 21 June 2021.

T. M. Dugan, S. Mukhopadhyay , A. Carroll and S. Downs, "Machine Learning Techniques for Prediction of Early Childhood Obesity," Applied Clinical Informatics, vol. 6, no. 3, pp. 506-520, 12 August 2015.

B. Singh and H. Tawfik, "Machine Learning Approach for the Early Prediction of the Risk of Overweight and Obesity in Young People," in Computational Science – ICCS 2020, 2020.

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot and E. Duchesnay, "Scikit-learn: Machine Learning in Python," vol. 12, no. 2011, pp. 2825-2830, 2011.

C. A. C. Montañez, P. Fergus, A. Hussain, D. Al-Jumeily, B. Abdulaimma, J. Hind and N. Radi, "Machine learning approaches for the prediction of obesity using publicly available genetic profiles," in 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, USA, 2017.

K. Rajput, G. Chetty and R. Davey, "Obesity and Co-Morbidity Detection in Clinical Text Using Deep Learning and Machine Learning Techniques," in 2018 5th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE), Nadi, Fiji, 2018.