AIMC Topic: Diabetes Mellitus
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Hybrid deep learning model for risk prediction of fracture in patients with diabetes and osteoporosis.
Frontiers of medicine
Aug 26, 2021
The fracture risk of patients with diabetes is higher than those of patients without diabetes due to hyperglycemia, usage of diabetes drugs, changes in insulin levels, and excretion, and this risk begins as early as adolescence. Many factors includin...
Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model.
Sensors (Basel, Switzerland)
Aug 5, 2021
Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula, which causes fluid accumulation in the macula. Efficient screening systems ...
Development and validation of a new diabetes index for the risk classification of present and new-onset diabetes: multicohort study.
Scientific reports
Aug 3, 2021
In this study, we aimed to propose a novel diabetes index for the risk classification based on machine learning techniques with a high accuracy for diabetes mellitus. Upon analyzing their demographic and biochemical data, we classified the 2013-16 Ko...
A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis.
Diabetes care
Jul 27, 2021
OBJECTIVE: Diabetic macular edema (DME) is the primary cause of vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep learning (DL) system for classifying DME using images from three common commercially...
Deep Learning for Diabetes: A Systematic Review.
IEEE journal of biomedical and health informatics
Jul 27, 2021
Diabetes is a chronic metabolic disorder that affects an estimated 463 million people worldwide. Aiming to improve the treatment of people with diabetes, digital health has been widely adopted in recent years and generated a huge amount of data that ...
Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs.
Eye (London, England)
Jul 1, 2021
OBJECTIVES: To present and validate a deep ensemble algorithm to detect diabetic retinopathy (DR) and diabetic macular oedema (DMO) using retinal fundus images.
Machine Learning for Predicting the 3-Year Risk of Incident Diabetes in Chinese Adults.
Frontiers in public health
Jun 29, 2021
We aimed to establish and validate a risk assessment system that combines demographic and clinical variables to predict the 3-year risk of incident diabetes in Chinese adults. A 3-year cohort study was performed on 15,928 Chinese adults without dia...
Deep learning for diabetic retinopathy detection and classification based on fundus images: A review.
Computers in biology and medicine
Jun 25, 2021
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading cause of blindness globally. Early detection and treatment are necessary in order to delay or avoid vision deterioration and vision loss. To that end, many art...
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.
Computers in biology and medicine
Jun 23, 2021
There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of systematic comparisons of state-of-the-art deep learning object detecti...
Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes.
BMC bioinformatics
Jun 11, 2021
BACKGROUND: Drug-drug interaction (DDI) is a serious public health issue. The L1000 database of the LINCS project has collected millions of genome-wide expressions induced by 20,000 small molecular compounds on 72 cell lines. Whether this unified and...
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