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STUDIA: An application to support carbohydrate counting by simulating glucose dynamics / Carlos Esteban Builes Montaño
Título : STUDIA: An application to support carbohydrate counting by simulating glucose dynamics Otros títulos : STUDIA: una aplicación para apoyar el conteo de carbohidratos simulando la dinámica de la glucosa Tipo de documento : documento electrónico Autores : Carlos Esteban Builes Montaño, Fecha de publicación : 2022 Títulos uniformes : Revista Colombiana de Endocrinología Diabetes y Metabolismo Idioma : Inglés (eng) Palabras clave : mathematical model diabetes mellitus mobile applications computer simulation carbohydrate counting Resumen : Background: Carbohydrate counting is often considered the ideal way to calculate meal-related insulin doses. Several ways to improve carbohydrate counting have been proposed. Purpose: We propose that carbohydrate counting can be refined via simulation and, as such, we present a mobile application for the real-time simulation of postprandial glucose dynamics: STUDIA. Methods: We used a phenomenological model of the gastrointestinal tract, coupled with the minimal glucose model to recreate postprandial glucose challenges in people with type 1 diabetes (T1DM). A requirements gathering process was implemented to define the application's functionalities and technical requirements. In addition, a person-based approach was used to characterize the users. Technological stacks were evaluated under the UX/UI criteria, learning curve, flexibility, and the possibility of executing mathematical models with a resolution of differential equations. We used data from one patient with T1DM to guide users in how to use the app. Continuous glucose monitor readings were used for comparison. Results: STUDIA is a mobile app built on Android Studio® with a user interface and a web-based administrative module connected to AWS®. The app, allows glucose simulations for day-to-day carbohydrate counting refinement, and patient parameter modification based on previous glucose readings and data analysis for comparison and clinical research. Conclusions: We present the first-of-a-kind postprandial simulation app based on a phenomenological model of the GI tract for patients with T1DM and its subsequent clinical research use. STUDIA will be tested in silico with data from multiple meals from patients with T1DM, and in a clinical trial. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Pérez, Luis E. Monsalve-Arango, Miguel A. Naranjo-Cano, Carlos M. Sierra Duque, José F. García-Tirado, Hernán Darío Alvarez Zapata DOI (Digital Object Identifier) : 10.53853/encr.9.4.770 Derechos de uso : CC BY-NC-ND En línea : https://revistaendocrino.org/index.php/rcedm/article/view/770 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=6074 STUDIA: An application to support carbohydrate counting by simulating glucose dynamics = STUDIA: una aplicación para apoyar el conteo de carbohidratos simulando la dinámica de la glucosa [documento electrónico] / Carlos Esteban Builes Montaño, . - 2022.
Obra : Revista Colombiana de Endocrinología Diabetes y Metabolismo
Idioma : Inglés (eng)
Palabras clave : mathematical model diabetes mellitus mobile applications computer simulation carbohydrate counting Resumen : Background: Carbohydrate counting is often considered the ideal way to calculate meal-related insulin doses. Several ways to improve carbohydrate counting have been proposed. Purpose: We propose that carbohydrate counting can be refined via simulation and, as such, we present a mobile application for the real-time simulation of postprandial glucose dynamics: STUDIA. Methods: We used a phenomenological model of the gastrointestinal tract, coupled with the minimal glucose model to recreate postprandial glucose challenges in people with type 1 diabetes (T1DM). A requirements gathering process was implemented to define the application's functionalities and technical requirements. In addition, a person-based approach was used to characterize the users. Technological stacks were evaluated under the UX/UI criteria, learning curve, flexibility, and the possibility of executing mathematical models with a resolution of differential equations. We used data from one patient with T1DM to guide users in how to use the app. Continuous glucose monitor readings were used for comparison. Results: STUDIA is a mobile app built on Android Studio® with a user interface and a web-based administrative module connected to AWS®. The app, allows glucose simulations for day-to-day carbohydrate counting refinement, and patient parameter modification based on previous glucose readings and data analysis for comparison and clinical research. Conclusions: We present the first-of-a-kind postprandial simulation app based on a phenomenological model of the GI tract for patients with T1DM and its subsequent clinical research use. STUDIA will be tested in silico with data from multiple meals from patients with T1DM, and in a clinical trial. Mención de responsabilidad : Carlos E. Builes-Montaño, Laura Lema-Pérez, Luis E. Monsalve-Arango, Miguel A. Naranjo-Cano, Carlos M. Sierra Duque, José F. García-Tirado, Hernán Darío Alvarez Zapata DOI (Digital Object Identifier) : 10.53853/encr.9.4.770 Derechos de uso : CC BY-NC-ND En línea : https://revistaendocrino.org/index.php/rcedm/article/view/770 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=6074 Reserva
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Código de barras Número de Ubicación Tipo de medio Ubicación Sección Estado DD001918 AC-2022-082 Archivo digital Producción Científica Artículos científicos Disponible Documentos electrónicos
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