AIMC Topic: Hyperglycemia
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Attention-based deep learning framework to recognize diabetes disease from cellular retinal images.
Biochemistry and cell biology = Biochimie et biologie cellulaire
Jul 20, 2023
A medical disorder known as diabetic retinopathy (DR) affects people who suffer from diabetes. Many people are visually impaired due to DR. Primary cause of DR in patients is high blood sugar, and it affects blood vessels available in the retinal cel...
Hyperglycemia Identification Using ECG in Deep Learning Era.
Sensors (Basel, Switzerland)
Sep 18, 2021
A growing number of smart wearable biosensors are operating in the medical IoT environment and those that capture physiological signals have received special attention. Electrocardiogram (ECG) is one of the physiological signals used in the cardiovas...
Acute hyperglycaemia in cystic fibrosis pulmonary exacerbations.
Endocrinology, diabetes & metabolism
Nov 30, 2020
BACKGROUND: Hyperglycaemia may contribute to failure to recover from pulmonary exacerbations in cystic fibrosis (CF). We aimed to evaluate the prevalence and mechanism of hyperglycaemia during and post-exacerbations.
Risk stratification for mortality in cardiovascular disease survivors: A survival conditional inference tree analysis.
Nutrition, metabolism, and cardiovascular diseases : NMCD
Oct 3, 2020
BACKGROUND AND AIMS: Efficient analysis strategies for complex network with cardiovascular disease (CVD) risk stratification remain lacking. We sought to identify an optimized model to study CVD prognosis using survival conditional inference tree (SC...
An artificial intelligence decision support system for the management of type 1 diabetes.
Nature metabolism
Jun 1, 2020
Type 1 diabetes (T1D) is characterized by pancreatic beta cell dysfunction and insulin depletion. Over 40% of people with T1D manage their glucose through multiple injections of long-acting basal and short-acting bolus insulin, so-called multiple dai...
Prediction of hypertension, hyperglycemia and dyslipidemia from retinal fundus photographs via deep learning: A cross-sectional study of chronic diseases in central China.
PloS one
May 14, 2020
Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory alterations of chronic diseases prior to the onset of overt clinical complications. Here, we developed neural network models to predict hypertension, h...
Pro-inflammatory cytokines after an episode of acute pancreatitis: associations with fasting gut hormone profile.
Inflammation research : official journal of the European Histamine Research Society ... [et al.]
Dec 29, 2017
INTRODUCTION: Pro-inflammatory cytokines, such as interleukin (IL)-6, tumour necrosis factor (TNF)α, and monocyte chemoattractant protein (MCP)-1, are often elevated in individuals after acute pancreatitis but what determines their levels is poorly u...
Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.
Journal of diabetes science and technology
Jun 22, 2017
BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to decrease morbidity and mortality rates and thereby decrease health care expenditures. To evaluate what constitutes effective glucose control, typicall...
Moderate, Short-Term, Local Hyperglycemia Attenuates Forearm Endothelium-Dependent Vasodilation After Transient Ischemia-Reperfusion in Human Volunteers.
Journal of cardiothoracic and vascular anesthesia
Dec 2, 2016
OBJECTIVE: Acute hyperglycemia causes endothelial dysfunction in diabetic patients, abolishes ischemic pre- and postconditioning, and is an independent predictor of adverse outcome after myocardial infarction in nondiabetic patients. Its effects on e...
Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes.
PloS one
Jul 21, 2016
Although reinforcement learning (RL) is suitable for highly uncertain systems, the applicability of this class of algorithms to medical treatment may be limited by the patient variability which dictates individualised tuning for their usually multipl...
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