AIMC Topic: Hyperglycemia
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Evaluation of insulin sensitivity temporal prediction by using quantile regression combined with neural network model.
International journal of medical informatics
Oct 1, 2025
BACKGROUND: Stress-induced hyperglycemia, a pathologically high blood glucose level, is a frequent complication in intensive care units. Blood glucose (BG) level control is crucial but challenging due to patient variability. The Stochastic TARgeted (...
Combined assessment of stress hyperglycemia ratio and glycemic variability to predict all-cause mortality in critically ill patients with atherosclerotic cardiovascular diseases across different glucose metabolic states: an observational cohort study with machine learning.
Cardiovascular diabetology
May 9, 2025
BACKGROUND: Stress hyperglycemia ratio (SHR) and glycemic variability (GV) reflect acute glucose elevation and fluctuations, which correlate with adverse outcomes in patients with atherosclerotic cardiovascular disease (ASCVD). However, the prognosti...
Retrospective Studies
Critical Illness
Female
Stress, Physiological
Risk Factors
Prediabetic State
Aged
Male
Middle Aged
Risk Assessment
Machine Learning
Diabetes Mellitus
Blood Glucose
Databases, Factual
Predictive Value of Tests
Humans
Time Factors
Biomarkers
Cause of Death
Hyperglycemia
Atherosclerosis
Prognosis
Advancements in Continuous Glucose Monitoring: Integrating Deep Learning and ECG Signal.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
This paper presents a novel approach to noninvasive hyperglycemia monitoring utilizing electrocardiograms (ECG) from an extensive database comprising 1119 subjects. Previous research on hyperglycemia or glucose detection using ECG has been constraine...
Development and validation of a machine learning-based model to predict isolated post-challenge hyperglycemia in middle-aged and elder adults: Analysis from a multicentric study.
Diabetes/metabolism research and reviews
Jul 1, 2024
INTRODUCTION: Due to the high cost and complexity, the oral glucose tolerance test is not adopted as the screening method for identifying diabetes patients, which leads to the misdiagnosis of patients with isolated post-challenge hyperglycemia (IPH),...
Deep Learning Techniques for Diabetic Retinopathy Detection.
Current medical imaging
Jan 1, 2020
Diabetes occurs due to the excess of glucose in the blood that may affect many organs of the body. Elevated blood sugar in the body causes many problems including Diabetic Retinopathy (DR). DR occurs due to the mutilation of the blood vessels in the ...
Exploration of hypoglycemic effect of an extract from leaves of a plant from Tunisian pharmacopeia: ().
African health sciences
Dec 1, 2019
BACKGROUND AND OBJECTIVES: A lot of research has been directed towards medicinal plants which are considered as a source of multiple phytotherapic substances endowed with hypoglycemic activities that could be used to treat diabetes and its complicati...
Hyperglycemia Is Associated with Surgical Site Infections among General and Vascular Surgery Patients.
The American surgeon
Oct 1, 2017
Surgical site infection (SSI) is a common cause of morbidity in general and vascular surgery patients. There is inconsistent evidence on the association of glycemic status with SSI, and its utility in predicting and mitigating SSI. General and vascul...
Fruit Wines Inhibitory Activity Against α-Glucosidase.
Current pharmaceutical biotechnology
Jan 1, 2017
BACKGROUND: Fruit wines are well known for their profound health-promoting properties including both enzyme activations and inhibitions. They may act preventive in regard to diabetes melitus and other chronic diseases.
A Risk Based Neural Network Approach for Predictive Modeling of Blood Glucose Dynamics.
Studies in health technology and informatics
Jan 1, 2016
For type 1 diabetes patients, maintaining the blood glucose (BG) at normal values is a challenging task due to e.g. variable insulin reactions, diets, lifestyles, emotional conditions, etc. Hyperglycemic and hypoglycemic events can generate various c...
Fuzzy linguistic prediction model for sinoatrial node field potential analysis in acute hyperglycemia environment.
Bio-medical materials and engineering
Jan 1, 2015
The objective of this study is to build a fuzzy linguistic prediction model (FLPM) for analyzing the actuation duration of acute hyperglycemia to sinoatrial node field potential. The field potential was recorded using microelectrode arrays (MEA). The...
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