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Analysis of institutional authors

Hoyos, J DAuthor

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January 27, 2025
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Identifiability of Control-Oriented Glucose-Insulin Linear Models: Review and Analysis

Publicated to: IEEE Access. 9 69173-69188 - 2021-01-01 9(), DOI: 10.1109/ACCESS.2021.3076405

Authors:

Hoyos, J D; Villa-Tamayo, M F; Builes-Montano, C E; Ramirez-Rincon, A; Godoy, J L; Garcia-Tirado, J; Rivadeneira, P S
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Affiliations

Clin Integral Diabet, Medellin 050022, Colombia - Author
Consejo Nacl Invest Cient & Tecn, INTEC, RA-3450 Santa Fe, Argentina - Author
Hosp Pablo Tobon Uribe, Medellin 050034, Colombia - Author
Univ Antioquia, Fac Med, Medellin 050010, Colombia - Author
Univ Nacl Colombia, Fac Minas, Grp GITA, Medellin 050034, Colombia - Author
Univ Pontificia Bolivariana, Fac Med, Medellin 050034, Colombia - Author
Univ Virginia, Ctr Diabet Technol, Charlottesville, VA 22904 USA - Author
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Abstract

One of the main challenges of glucose control in patients with type 1 diabetes is identifying a control-oriented model that reliably predicts the behavior of glycemia. Here, a review is provided emphasizing the structural identifiability and observability properties, which surprisingly reveals that few of them are globally identifiable and observable at the same time. Thus, a general proposal was developed to encompass four linear models according to suitable assumptions and transformations. After the corresponding structural properties analysis, two minimal model structures are generated, which are globally identifiable and observable. Then, the practical identifiability is analyzed for this application showing that the standard collected data in many cases do not have the necessary quality to ensure a unique solution in the identification process even when a considerable amount of data is collected. The two minimal control-oriented models were identified using a standard identification procedure using data from 30 virtual patients of the UVA/Padova simulator and 77 diabetes care data from adult patients of a diabetes center. The identification was performed in two stages: calibration and validation. In the first stage, the average length was taken as two days (dictated by the practical identifiability). For both structures, the mean absolute error was 16.8 mg/dl and 9.9 mg/dl for virtual patients and 21.6 mg/dl and 21.5 mg/dl for real patients. For the second stage, a one-day validation window was considered long enough for future artificial pancreas applications. The mean absolute error was 23.9 mg/dl and 12.3 mg/dl for virtual patients and 39.2 mg/dl and 36.6 mg/dl for virtual and real patients. These results confirm that linear models can be used as prediction models in model-based control strategies as predictive control.
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Keywords

Analytical modelsArtificial pancreasBiomedical systemsData modelsDiabetesDisposalDynamicsGlucoseGlucose dynamicsIdentifiabilityIdentificationInsulinIvgtMathematical modelModel identificatioPractical indentifiabilityPredictive modelsSensitivityStrategiesSystemToleranceType-1 diabetes-mellitus

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal IEEE Access due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Engineering (Miscellaneous).

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-03:

  • WoS: 7
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-03:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 24 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Argentina; Colombia; United States of America.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Hoyos Giraldo, Juan David) .

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Awards linked to the item

This work was supported by the Minciencias (Colombia) under Grant 110180763081.
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