Publisher
Springer Nature Switzerland
Reference16 articles.
1. Singh, B., & Tawfik, H. (2020). Machine learning approach for the early prediction of the risk of overweight and obesity in young people. In International conference on computational science (ICCS) (pp. 523–535). Springer.
2. Chatterjee, A., Gerdes, M. W., & Martinez, S. G. (2020). Identification of risk factors associated with obesity and overweight – A machine learning overview. Sensors, 20(9), 2734.
3. Engeland, A., Bjørge, T., Søgaard, A. J., & Tverdal, A. (2003). Body mass index in adolescence in relation to total mortality: 32-year follow-up of 227,000 Norwegian boys and girls. American Journal of Epidemiology, 157(6), 517–523.
4. Colmenarejo, G. (2020). Machine learning models to predict childhood and adolescent obesity: A review. Nutrients, 12(8), 2466.
5. Freedman, D. S., Mei, Z., Srinivasan, S. R., Berenson, G. S., & Dietz, W. H. (2007). Cardiovascular risk factors and excess adiposity among overweight children and adolescents: The Bogalusa heart study. The Journal of Pediatrics, 150(1), 12–17.