AIMC Topic: Blood Glucose
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Development and external validation of a machine learning model to predict diabetic nephropathy in T1DM patients in the real-world.
Acta diabetologica
Nov 11, 2024
AIMS: Studies on machine learning (ML) for the prediction of diabetic nephropathy (DN) in type 1 diabetes mellitus (T1DM) patients are rare. This study focused on the development and external validation of an explainable ML model to predict the risk ...
Enhancing the accuracy of blood-glucose tests by upgrading FTIR with multiple-reflections, quantum cascade laser, two-dimensional correlation spectroscopy and machine learning.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Nov 5, 2024
The accuracy of screening diabetes from non-diabetes is drastically enhanced by strategically upgrading the bench-marking infrared spectroscopy technique for non-invasive tests of blood-glucose, both with state-of-the-art instrumentation-retrofits an...
Pioneering diabetes screening tool: machine learning driven optical vascular signal analysis.
Biomedical physics & engineering express
Nov 1, 2024
The escalating prevalence of diabetes mellitus underscores the critical need for non-invasive screening tools capable of early disease detection. Present diagnostic techniques depend on invasive procedures, which highlights the need for advancement o...
Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve.
Computer methods and programs in biomedicine
Oct 31, 2024
BACKGROUND AND OBJECTIVE: Binge eating disorder (BED) is the most frequent eating disorder, often confused with obesity, with which it shares several characteristics. Early identification could enable targeted therapeutic interventions. In this study...
Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach.
European journal of clinical nutrition
Oct 23, 2024
BACKGROUND: The clinical care process for people with prediabetes starts with lifestyle intervention, often escalating to more intense treatment due to the low success rate of the first-line intervention. Clinicians lack clear guidelines on which pat...
Enhancing severe hypoglycemia prediction in type 2 diabetes mellitus through multi-view co-training machine learning model for imbalanced dataset.
Scientific reports
Sep 30, 2024
Patients with type 2 diabetes mellitus (T2DM) who have severe hypoglycemia (SH) poses a considerable risk of long-term death, especially among the elderly, demanding urgent medical attention. Accurate prediction of SH remains challenging due to its m...
Deep learning for blood glucose level prediction: How well do models generalize across different data sets?
PloS one
Sep 25, 2024
Deep learning-based models for predicting blood glucose levels in diabetic patients can facilitate proactive measures to prevent critical events and are essential for closed-loop control therapy systems. However, selecting appropriate models from the...
Highly Sensitive Perovskite Photoplethysmography Sensor for Blood Glucose Sensing Using Machine Learning Techniques.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Sep 20, 2024
Accurate non-invasive monitoring of blood glucose (BG) is a challenging issue in the therapy of diabetes. Here near-infrared (NIR) photoplethysmography (PPG) sensor based on a vapor-deposited mixed tin-lead hybrid perovskite photodetector is develope...
Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation.
BMC pregnancy and childbirth
Sep 16, 2024
BACKGROUND: It remains unclear which early gestational biomarkers can be used in predicting later development of gestational diabetes mellitus (GDM). We sought to identify the optimal combination of early gestational biomarkers in predicting GDM in m...
Female
Adult
Case-Control Studies
China
Blood Glucose
ROC Curve
Insulin-Like Growth Factor I
Logistic Models
Humans
Machine Learning
Biomarkers
Pregnancy
Insulin-Like Growth Factor Binding Protein 2
Fibronectins
Predictive Value of Tests
Diabetes, Gestational
C-Reactive Protein
Adiponectin
Pregnancy Trimester, First
Sex Hormone-Binding Globulin
Deep-Learning-Based Blood Glucose Detection Device Using Acetone Exhaled Breath Sensing Features of α-FeO-MWCNT Nanocomposites.
ACS applied materials & interfaces
Sep 3, 2024
Owing to the correlation between acetone in human's exhaled breath (EB) and blood glucose, the development of EB acetone gas-sensing devices is important for early diagnosis of diabetes diseases. In this article, a noninvasive blood glucose detection...
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