Endocrinology

Diabetes

Latest AI and machine learning research in diabetes for healthcare professionals.

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Predictors of in-hospital mortality following major lower extremity amputations in type 2 diabetic patients using artificial neural networks.

BACKGROUND: Outcome prediction is important in the clinical decision-making process. Artificial neur...

A soft computing approach for diabetes disease classification.

As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. The aim of this study i...

Physiological study on the influence of some plant oils in rats exposed to a sublethal concentration of diazinon.

The present study was aimed to evaluate the influence of olive, sesame and black seed oils on levels...

Association of Osteoprotegerin with Obesity, Insulin Resistance and Non-Alcoholic Fatty Liver Disease in Children.

BACKGROUND: Osteoprotegerin (OPG) is a member of the tumor necrosis factor superfamily. Reduced OPG ...

In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting.

BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to ...

Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods.

Biosensors are small analytical devices incorporating a biological recognition element and a physico...

Resistant starch suppresses postprandial hypertriglyceridemia in rats.

Postprandial increase in blood triglyceride levels is an independent risk factor for coronary artery...

ANN Prediction of Metabolic Syndrome: a Complex Puzzle that will be Completed.

The diagnosis of metabolic syndrome (MetS) has a leading role in the early prevention of chronic dis...

Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning.

Statistical models to predict incident diabetes are often based on limited variables. Here we pursue...

Activity Recognition for Diabetic Patients Using a Smartphone.

Diabetes is a disease that has to be managed through appropriate lifestyle. Technology can help with...

Detection of exudates in fundus photographs using deep neural networks and anatomical landmark detection fusion.

BACKGROUND AND OBJECTIVE: Diabetic retinopathy is one of the leading disabling chronic diseases and ...

Performance Analysis of Fuzzy-PID Controller for Blood Glucose Regulation in Type-1 Diabetic Patients.

This paper presents Fuzzy-PID (FPID) control scheme for a blood glucose control of type 1 diabetic s...

Antithyroid drug-associated MPO-ANCA-positive tubulointerstitial nephritis in a type 2 diabetes patient: a case report.

A 54-year-old man diagnosed with type 2 diabetes and hyperthyroidism was prescribed propylthiouracil...

A machine learning-based framework to identify type 2 diabetes through electronic health records.

OBJECTIVE: To discover diverse genotype-phenotype associations affiliated with Type 2 Diabetes Melli...

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