{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T06:18:00Z","timestamp":1793686680763,"version":"4.5.1"},"reference-count":42,"publisher":"Institution of Engineering and Technology (IET)","issue":"1","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Systems Biology"],"published-print":{"date-parts":[[2019,2]]},"abstract":"<jats:p>The effect of meal on blood glucose concentration is a key issue in diabetes mellitus because its estimation could be very useful in therapy decisions. In the case of type 1 diabetes mellitus (T1DM), the therapy based on automatic insulin delivery requires a closed\u2010loop control system to maintain euglycaemia even in the postprandial state. Thus, the mathematical modelling of glucose metabolism is relevant to predict the metabolic state of a patient. Moreover, the eating habits are characteristic of each person, so it is of interest that the mathematical models of meal intake allow to personalise the glycaemic state of the patient using therapy historical data, that is, daily measurements of glucose and records of carbohydrate intake and insulin supply. Thus, here, a model of glucose metabolism that includes the effects of meal is analysed in order to establish criteria for data\u2010based personalisation. The analysis includes the sensitivity and identifiability of the parameters, and the parameter estimation problem was resolved via two algorithms: particle swarm optimisation and evonorm. The results show that the mathematical model can be a useful tool to estimate the glycaemic status of a patient and personalise it according to her\/his historical data.<\/jats:p>","DOI":"10.1049\/iet-syb.2018.5038","type":"journal-article","created":{"date-parts":[[2018,9,25]],"date-time":"2018-09-25T22:28:13Z","timestamp":1537914493000},"page":"8-15","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Parameter estimation of a meal glucose\u2013insulin model for TIDM patients from therapy historical data"],"prefix":"10.1049","volume":"13","author":[{"given":"Oscar D.","family":"S\u00e1nchez","sequence":"first","affiliation":[{"name":"CUCEI, Universidad de Guadalajara Av. Revoluci\u00f3n 1500, Col. Universitaria 44430 Guadalajara Jal. M\u00e9xico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0478-305X","authenticated-orcid":false,"given":"Eduardo","family":"Ruiz\u2010Vel\u00e1zquez","sequence":"additional","affiliation":[{"name":"CUCEI, Universidad de Guadalajara Av. Revoluci\u00f3n 1500, Col. Universitaria 44430 Guadalajara Jal. M\u00e9xico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alma Y.","family":"Alan\u00eds","sequence":"additional","affiliation":[{"name":"CUCEI, Universidad de Guadalajara Av. Revoluci\u00f3n 1500, Col. Universitaria 44430 Guadalajara Jal. M\u00e9xico"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4910-2521","authenticated-orcid":false,"given":"Griselda","family":"Quiroz","sequence":"additional","affiliation":[{"name":"FIME, Universidad Aut\u00f3noma de Nuevo Le\u00f3n Av. Universidad S\/N, Ciudad Universitaria, 66455 San Nicol\u00e1s de los Garza, Nuevo Le\u00f3n, N.L. 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