. Ajmera-i, M. Swat, C. Laibe, . Le-novere-n, and . Chelliah-v, « The impact of mathematical modeling on the understanding of diabetes and related complications », CPT: pharmacometrics & systems pharmacology, vol.2, pp.1-4, 2013.

. Balakrishnan-n, G. Rangaiah, and . Samavedham-l, « Review and analysis of blood glucose (BG) models for type 1 diabetic patients », Industrial & Engineering Chemistry Research, vol.50, pp.12041-12066, 2011.

. Boutayeb-a and A. Chetouani, A critical review of mathematical models and data used in diabetology, Biomedical engineering online, vol.5, issue.1, 2006.

. Boutayeb-w, M. Lamlili, . Boutayeb-a, and . Derouich-m, Mathematical modelling and simulation of ?-cell mass, insulin and glucose dynamics: Effect of genetic predisposition to diabetes, Journal of Biomedical Science and Engineering, vol.7, p.6, 2014.

. Boutayeb-w, M. Lamlili, . Boutayeb-a, and . Derouich-m, The impact of obesity on predisposed people to type 2 diabetes: Mathematical model », International Conference on Bioinformatics and Biomedical Engineering, pp.613-622, 2014.

C. Dias-cifha, S. Kamath, and S. Vidyasagar, Mathematical modelling and simulation of ?-cell mass, insulin and glucose dynamics: Effect of genetic predisposition to diabetes, International Journal of Bioinformatics Research and Applications, vol.4, issue.2, pp.90-103, 2018.

. Gunawardane-k, . Hansen-t, J. Christiansen, and J. Jorgensen, « Normal physiology of growth hormone in adults, 2015.

. Hernandez-r, . Lyles-d, . Rubin-d, T. Voden, and S. Wirkus, A model of ?-cell mass, insulin, glucose and receptor dynamics with applications to diabetes, 2001.

K. S. Park-m, Effects of growth hormone on glucose metabolism and insulin resistance in human », Annals of pediatric endocrinology & metabolism, Korean Society of Pediatric Endocrinology, vol.22, p.145, 2017.

L. I. Jiaxu and J. J. , Mathematical models of subcutaneous injection of insulin analogues: a mini-review », Discrete and continuous dynamical systems, Series B, vol.12, issue.2, p.401, 2009.

. Makroglou-a, . Li-jiaxu, and . Kuang-y, Mathematical models and software tools for the glucose-insulin regulatory system and diabetes: an overview, vol.56, pp.559-573, 2006.

G. Nucci and . Cobelli-c, Models of subcutaneous insulin kinetics. A critical review, vol.62, pp.249-257, 2000.

. Pattaranit-r and . Van-d, Mathematical models of energy homeostasis », Journal of The Royal Society Interface, vol.5, pp.1119-1135, 2008.

A. Roy and . Parker-r, Dynamic modeling of free fatty acid, glucose, and insulin: An extended" minimal model, Diabetes technology & therapeutics, vol.8, pp.617-626, 2006.

S. J. Maas, J. Maas, J. Garnsworthy, P. Owen-m, S. Coombes et al., Mathematical modeling of glucose homeostasis and its relationship with energy balance and body fat, vol.17, pp.632-639, 2009.

T. A. Mintz and D. , Metabolic clearance and production rates of human growth hormones. », the, Journal of Clinical Investigation, vol.48, pp.2349-2358, 1969.

. Topp-b, K. Promislow, . Devries-g, T. Miura-r, and . Finegood-d, « A model of ?-cell mass, insulin, and glucose kinetics: pathways to diabetes, Journal of theoretical biology, vol.206, pp.605-619, 2000.