Browsing by Subject "Continuous glucose monitoring"

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    Feature selection for blood glucose level prediction in type 1 Diabetes Mellitus by using the Sequential Input Selection Algorithm (SISAL)
    (MDPI, 2019-09-14) Rodríguez Rodríguez, Ignacio ; Rodríguez, José Víctor; González Vidal, Aurora; Zamora Izquierdo, Miguel Ángel; Ingeniería de la Información y las Comunicaciones; Facultades de la UMU::Facultad de Informática
    Feature selection is a primary exercise to tackle any forecasting task. Machine learning algorithms used to predict any variable can improve their performance by lessening their computational effort with a proper dataset. Anticipating future glycemia in type 1 diabetes mellitus (DM1) patients provides a baseline in its management, and in this task, we need to carefully select data, especially now, when novel wearable devices offer more and more information. In this paper, a complete characterization of 25 diabetic people has been carried out, registering innovative variables like sleep, schedule, or heart rate in addition to other well-known ones like insulin, meal, and exercise. With this ground-breaking data compilation, we present a study of these features using the Sequential Input Selection Algorithm (SISAL), which is specially prepared for time series data. The results rank features according to their importance, regarding their relevance in blood glucose level prediction as well as indicating the most influential past values to be taken into account and distinguishing features with person-dependent behavior from others with a common performance in any patient. These ideas can be used as strategies to select data for predicting glycemia depending on the availability of computational power, required speed, or required accuracy. In conclusion, this paper tries to analyze if there exists symmetry among the different features that can affect blood glucose levels, that is, if their behavior is symmetric in terms of influence in glycemia.
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    Monitorización continua de glucosa en la percepción de la hipoglucemia en personas con diabetes mellitus
    (Universidad de Murcia: servicio de publicaciones, 2025) Ruiz-Trillo, Carmen Amelia; Cortés-Lerena, Ana; Garrido-Bueno, Miguel; Gamero-Dorado, Carmen; Pérez-Morales, Ana; López-Gallardo, Gema; Sin departamento asociado
    Introduction:Recurrent hypoglycemia increases the risk of developing asymptomatic hypoglycemia, which affects up to 40% of people with diabetes and leads to severe hypoglycemic episodes. Objective: This study aimed to evaluate the effect of instant glucose monitoring on the perception of hypoglycemia in patients with type 1 diabetes mellitus.Method:A 24-week quasi-experimental study was conducted at the Virgen del Rocío University Hospital involving 68 patients with type 1 diabetes with severe or asymptomatic hypoglycemia. The primary outcome was the change in Clark test score from baseline to 24 weeks after implementation of a flash glucose monitoring device (Free Style 2®, Abbott). Secondary outcomes included changes in glycemic data and factors influencing improved perception.Results: The Clark test score decreased significantly, with a reduction in total hypoglycemic time. No significant changes were observed in time below or in range. Longer duration of diabetes was associated with a higher likelihood of persistent asymptomatic hypoglycemia.Conclusions:Rapid glucose monitoring improved the perception of hypoglycemia and reduced hypoglycemic time and glycemic variability in patients with type 1 diabetes, although its impact on HbA1c and time in range was minimal