Model-based insulin therapy scheduling / Cheng-Liang Chen in Industrial & engineering chemistry research, Vol. 48 N° 18 (Septembre 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 18 (Septembre 2009) . - pp. 8595–8604 Titre : Model-based insulin therapy scheduling : a mixed-integer nonlinear dynamic optimization approach Type de document : texte imprimé Auteurs : Cheng-Liang Chen, Auteur ; Hong-Wen Tsai, Auteur Année de publication : 2010 Article en page(s) : pp. 8595–8604 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Insulin injection scheduling strategy Mixed-integer nonlinear dynamic program Résumé : This article aims at developing a better insulin injection scheduling strategy for diabetes. For this purpose, the subcutaneous (sc) absorption behaviors of available insulin and the overall glucose−insulin dynamics for diabetes are investigated at first. Therein several sets of clinical data from literature are applied to verify the overall glucose−insulin dynamic models through parametric estimation. The problem of searching the optimal injected time, type, and dosage of insulin are then formulated as a mixed-integer nonlinear dynamic program (MINDP). The optimal injection schedules are consequently found for a 24 h cycle in three scenarios by adjusting either the insulin injection times, or insulin types, or insulin dosage, or other combinations of these factors. The corresponding improvement in glycemia control in each scenario is demonstrated. The robustness of suggested therapy schedules to inconsistency of scheduled situations is finally exemplified. It is expected that the proposed optimal therapy scheduling can serve as a valuable reference for physicians and patients to take better glucose control on a daily basis. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9005673 [article] Model-based insulin therapy scheduling : a mixed-integer nonlinear dynamic optimization approach [texte imprimé] / Cheng-Liang Chen, Auteur ; Hong-Wen Tsai, Auteur . - 2010 . - pp. 8595–8604. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 18 (Septembre 2009) . - pp. 8595–8604 Mots-clés : Insulin injection scheduling strategy Mixed-integer nonlinear dynamic program Résumé : This article aims at developing a better insulin injection scheduling strategy for diabetes. For this purpose, the subcutaneous (sc) absorption behaviors of available insulin and the overall glucose−insulin dynamics for diabetes are investigated at first. Therein several sets of clinical data from literature are applied to verify the overall glucose−insulin dynamic models through parametric estimation. The problem of searching the optimal injected time, type, and dosage of insulin are then formulated as a mixed-integer nonlinear dynamic program (MINDP). The optimal injection schedules are consequently found for a 24 h cycle in three scenarios by adjusting either the insulin injection times, or insulin types, or insulin dosage, or other combinations of these factors. The corresponding improvement in glycemia control in each scenario is demonstrated. The robustness of suggested therapy schedules to inconsistency of scheduled situations is finally exemplified. It is expected that the proposed optimal therapy scheduling can serve as a valuable reference for physicians and patients to take better glucose control on a daily basis. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9005673

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