Academic literature on the topic 'Universal glucose predictor'

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Journal articles on the topic "Universal glucose predictor"

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Bekler, Ozkan, and Alparslan Kurtul. "Non-Dipping Pattern Is Associated with Periprocedural Myocardial Infarction in Hypertensive Patients Undergoing Elective Percutaneous Coronary Intervention." Medicina 61, no. 5 (2025): 794. https://doi.org/10.3390/medicina61050794.

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Background and Objectives: Non-dipping blood pressure (BP) patterns are associated with increased cardiovascular risk, but their role in periprocedural myocardial infarction (PMI) during elective percutaneous coronary intervention (PCI) remains insufficiently clarified. The objective was to investigate whether a non-dipping BP profile independently predicts PMI in hypertensive patients undergoing elective PCI. Materials and Methods: This prospective observational study enrolled 462 hypertensive patients undergoing elective PCI, categorized as dipping or non-dipping based on 24 h ambulatory BP
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Jenum, Anne K., Kjersti Mørkrid, Line Sletner, et al. "Impact of ethnicity on gestational diabetes identified with the WHO and the modified International Association of Diabetes and Pregnancy Study Groups criteria: a population-based cohort study." European Journal of Endocrinology 166, no. 2 (2012): 317–24. http://dx.doi.org/10.1530/eje-11-0866.

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ObjectiveThe International Association of Diabetes and Pregnancy Study Groups (IADPSG) recently proposed new criteria for diagnosing gestational diabetes mellitus (GDM). We compared prevalence rates, risk factors, and the effect of ethnicity using the World Health Organization (WHO) and modified IADPSG criteria.MethodsThis was a population-based cohort study of 823 (74% of eligible) healthy pregnant women, of whom 59% were from ethnic minorities. Universal screening was performed at 28±2 weeks of gestation with the 75 g oral glucose tolerance test (OGTT). Venous plasma glucose (PG) was measure
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Tanzin, Sayeda Tania, Md Ashiqur Rahman, Khadija Begum, Farhana Haque Choudhury, Rumysa Taher Bushra, and Hasina Akter. "Association of Elevated Serum Homocysteine Level in Women with Gestational Diabetes Mellitus." Scholars International Journal of Obstetrics and Gynecology 6, no. 05 (2023): 193–200. http://dx.doi.org/10.36348/sijog.2023.v06i05.006.

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Background: In gestational diabetes mellitus (GDM), risk prediction is mostly based on maternal history and clinical risk factors and may not optimally identify high risk pregnancies. Therefore, universal screening is widely recommended. Homocysteine levels during pregnancy in women with GDM have been studied; however, it remains unclear whether hyperhomocysteinemia is a useful predictor of GDM. Objective: To determine the association of serum homocysteine level in women with gestational diabetes mellitus. Methods: Case control study was conducted in the Department of Obstetrics and Gynaecolog
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Varsha, S., Kumar Aman, H.Ramya Shree C, and Payaswini. "Analysis of Datamining Algorithms for Diabetes Prediction Levels." Advanced Innovations in Computer Programming Languages 7, no. 1 (2025): 40–45. https://doi.org/10.5281/zenodo.14800441.

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<em>Diabetes an illness that can cause a worldwide wellbeing issue concurring to the universal diabetes league. By 2035 382 million individuals around the world will have diabetes and this number will twofold to 592 million. The body changes over nourishment into sugar or glucose and at this time our pancreas has to discharge affront which is critical for the release of glucose into cells sort 1 and 2. Diabetes are the foremost common maladies gestational diabetes and other maladies that happen amid pregnancy. Machine learning may be a modern wonder within the writing where machine learning le
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Twardawa, Mateusz, Piotr Formanowicz, and Dorota Formanowicz. "The Interplay Between Carotid Intima-Media Thickness and Selected Serum Biomarkers in Various Stages of Chronic Kidney Disease." Biomedicines 13, no. 2 (2025): 335. https://doi.org/10.3390/biomedicines13020335.

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Background/Objectives: Chronic kidney disease (CKD), the most common cause of which is hypertension and diabetes, is a recognized risk factor for cardiovascular disease (CVD). This study investigated the association between selected serum biomarkers in the context of intima-media thickness (IMT) changes, a common predictor of subsequent cardiovascular (CV) events. Methods: A total of 251 individuals were enrolled in the study, divided into groups based on the severity of CKD, the presence of CVD, and healthy controls. For this purpose, the data from the following groups of participants were an
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Rakesh Motka. "Optimizing Blood Glucose Prediction Accuracy for Type-1 Diabetes with a Stacked LSTM Universal Model." Journal of Information Systems Engineering and Management 10, no. 2 (2025): 294–302. https://doi.org/10.52783/jisem.v10i2.1824.

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Integrating machine learning in diabetes care has opened the door for the development of a more advanced artificial pancreas. Multiple machine learning models have been applied to diverse datasets, including real and In Silico data, to minimize prediction errors. The goal is to develop a robust system to predict glucose levels with 60 min. of prediction horizon (PH) well in advance to prevent critical medical emergencies. Extensive research has been carried out to improve the predicting accuracy of specific models. However, the interpersonal effectiveness of the model is significant for clinic
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Arnoriaga-Rodriguez, Maria, Verónica Melero, Ana Barabash, et al. "Modifiable Risk Factors and Trends in Changes in Glucose Regulation during the First Three Years Postdelivery: The St Carlos Gestational Diabetes Mellitus Prevention Cohort." Nutrients 15, no. 23 (2023): 4995. http://dx.doi.org/10.3390/nu15234995.

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Objective: Evaluation of the influence of potential risk factors (RFs) on glycemic changes at 3 years postpartum. Methods: The glycemic status of 1400 women, in absence of a new pregnancy, was evaluated at 3 months (3 m) and 3 years (3 y) postpartum, after participation in the St. Carlos Gestational Study (2228 normoglycemic pregnant women followed from before gestational week 12 to delivery, from 2015–2017). Abnormal glucose regulation (AGR) was defined as fasting serum glucose &gt; 100 mg/dL and/or HbA1c &gt; 5.7% and/or 2 h 75 g OGTT glucose ≥ 140 mg/dL. In total, 12 modifiable and 3 unmodi
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Yanachkova, Vesselina, Radiana Staynova, Teodora Stankova, and Zdravko Kamenov. "Placental Growth Factor and Pregnancy-Associated Plasma Protein-A as Potential Early Predictors of Gestational Diabetes Mellitus." Medicina 59, no. 2 (2023): 398. http://dx.doi.org/10.3390/medicina59020398.

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Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications and one of the main causes of adverse pregnancy outcomes. An early diagnosis of GDM is of fundamental importance in clinical practice. However, the major professional organizations recommend universal screening for GDM, using a 75 g oral glucose tolerance test at 24–28 weeks of gestation. A selective screening at an early stage of pregnancy is recommended only if there are maternal risk factors for diabetes. As a result, the GDM diagnosis is often delayed and established after the appearance of complications.
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Kousta, Eleni, Adamantia Kontogeorgi, Stephen Robinson, and Desmond G. Johnston. "Long-Term Metabolic Consequences in Patients with a History of Gestational Diabetes." Current Pharmaceutical Design 26, no. 43 (2020): 5564–72. http://dx.doi.org/10.2174/1381612826666201106092423.

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Gestational diabetes mellitus is a common metabolic complication of pregnancy. Universal guidelines on gestational diabetes have been impeded by the long-term controversies on its definition and screening strategies. The prevalence of gestational diabetes is rising all over the world, is significantly influenced by ethnicity and its rise is mainly attributed to increasing maternal obesity and age. Gestational diabetes mellitus has important long-term implications, including gestational diabetes recurrence, increased risk for developing type 2 diabetes, metabolic syndrome and cardiovascular dis
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Belenkaia, L. V., L. V. Suturina, M. A. Darenskaya, et al. "Age-related determinants of the metabolic syndrome in women of reproductive age of the main ethnic groups of the Baikal Region." Acta Biomedica Scientifica 8, no. 4 (2023): 39–48. http://dx.doi.org/10.29413/abs.2023-8.4.5.

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The aim of the study. To determine the age limit of the initial manifestations of the metabolic syndrome in women of reproductive age of the Caucasian and Asian ethnic groups. Materials and methods. The study included women of reproductive age of the Russian and Buryat ethnic groups (n = 1231). We carried out general clinical examination, studied glycemia levels and lipid metabolism indicators. The analysis of the components of the metabolic syndrome was performed taking into account age characteristics and ethnicity. Threshold values for the age of metabolic disorders manifestation were deter
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Dissertations / Theses on the topic "Universal glucose predictor"

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ALIBERTI, ALESSANDRO. "Machine learning techniques to forecast non-linear trends in smart environments." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2846613.

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