Diabetes

Deep Learning to Predict Glaucoma Progression using Structural Changes in the Eye

Glaucoma is a chronic eye disease characterized by optic neuropathy, leading to irreversible visio...

Detection of Acetone as a Gas Biomarker for Diabetes Based on Gas Sensor Technology

With the continuous development and improvement of medical services, there is a growing demand for...

Assessing the Efficacy of Synthetic Optic Disc Images for Detecting Glaucomatous Optic Neuropathy Using Deep Learning.

PURPOSE: Deep learning architectures can automatically learn complex features and patterns associate...

Neural-Net Artificial Pancreas: A Randomized Crossover Trial of a First-in-Class Automated Insulin Delivery Algorithm.

Automated insulin delivery (AID) is now integral to the clinical practice of type 1 diabetes (T1D)....

Predicting type 1 diabetes in children using electronic health records in primary care in the UK: development and validation of a machine-learning algorithm.

BACKGROUND: Children presenting to primary care with suspected type 1 diabetes should be referred im...

Comparing the accuracy of four machine learning models in predicting type 2 diabetes onset within the Chinese population: a retrospective study.

OBJECTIVE: To evaluate the effectiveness of machine learning (ML) models in predicting 5-year type 2...

[Personalized glycemic management for patients with diabetic ketoacidosis based on machine learning].

OBJECTIVE: To explore the optimal blood glucose-lowering strategies for patients with diabetic ketoa...

Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease.

PURPOSE: Thyroid eye disease (TED) is characterized by proliferation of orbital tissues and complica...

A deep learning system for predicting time to progression of diabetic retinopathy.

StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.

MOTIVATION: Diabetes is a chronic metabolic disorder that has been a major cause of blindness, kidne...

Worldwide productivity and research trend of publications concerning intestinal polyps: A bibliometric study.

There is a significant relationship between intestinal polyps and colorectal cancer, and in recent y...

Integration of transcriptome and machine learning to identify the potential key genes and regulatory networks affecting drip loss in pork.

Low level of drip loss (DL) is an important quality characteristic of meat with high economic value....

Refining Muscle Morphometry Through Machine Learning and Spatial Analysis

Muscle morphology provides important information in differentiating the disease aetiology, but its m...

Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes

Non-Hispanic white (White) populations are overrepresented in medical studies. Potential healthcare ...

Enhancing Wearable Sensor Data Classification Through Novel Modified- Recurrent Plot-Based Image Representation and Mixup Augmentation.

Deep learning advancements have revolutionized scalable classification in many domains including com...

Federated Diabetes Prediction in Canadian Adults Using Real-world Cross-Province Primary Care Data.

Integrating Electronic Health Records (EHR) and the application of machine learning present opportun...

A neural network model for predicting the effectiveness of treatment in patients with neovascular glaucoma associated with diabetes mellitus.

INTRODUCTION: The study hypothesizes that neural networks can be an effective tool for predicting tr...

Nonproliferative diabetic retinopathy dataset(NDRD): A database for diabetic retinopathy screening research and deep learning evaluation.

OBJECTIVES: In this article, we provide a database of nonproliferative diabetes retinopathy, which f...

A machine learning prediction model for cancer risk in patients with type 2 diabetes based on clinical tests.

BACKGROUND: The incidence of type 2 diabetes is rapidly increasing worldwide. Studies have shown tha...

Hybrid CNN-LSTM for Predicting Diabetes: A Review.

BACKGROUND: Diabetes is a common and deadly chronic disease caused by high blood glucose levels that...

Diabetic Retinopathy Diagnosis based on Convolutional Neural Network in the Russian Population: A Multicenter Prospective Study.

BACKGROUND: Diabetic retinopathy is the most common complication of diabetes mellitus and is one of ...