AIMC Topic: Diabetes Mellitus

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Systematic Comparison of Heatmapping Techniques in Deep Learning in the Context of Diabetic Retinopathy Lesion Detection.

Translational vision science & technology Dec 29, 2020
PURPOSE: Heatmapping techniques can support explainability of deep learning (DL) predictions in medical image analysis. However, individual techniques have been mainly applied in a descriptive way without an objective and systematic evaluation. We in...
Diabetes Mellitus Fundus Oculi Exudates and Transudates Humans Diabetic Retinopathy Deep Learning Microaneurysm
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Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting.

Journal of medical Internet research Dec 16, 2020
BACKGROUND: Despite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice. To overcome this limitation, attention mechanism has been introduced to clinical research as...
Reproducibility of Results Deep Learning Diabetes Mellitus Empirical Research Algorithms Humans Research Design Republic of Korea
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Imbalanced learning: Improving classification of diabetic neuropathy from magnetic resonance imaging.

PloS one Dec 15, 2020
One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Class imbalance happens where an instance in the class of interest is relatively low, when compared to the rest of the data. This study aims to apply ove...
Diabetic Neuropathies Diabetes Mellitus Support Vector Machine Algorithms Magnetic Resonance Imaging Humans Female Decision Trees Machine Learning Male Neuroimaging
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Precision medicine in the era of artificial intelligence: implications in chronic disease management.

Journal of translational medicine Dec 9, 2020
Aberrant metabolism is the root cause of several serious health issues, creating a huge burden to health and leading to diminished life expectancy. A dysregulated metabolism induces the secretion of several molecules which in turn trigger the inflamm...
Chronic Disease Disease Management Precision Medicine Diabetes Mellitus Humans Artificial Intelligence
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Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images.

Translational vision science & technology Dec 4, 2020
PURPOSE: To evaluate the performance of a deep learning algorithm in the detection of referral-warranted diabetic retinopathy (RDR) on low-resolution fundus images acquired with a smartphone and indirect ophthalmoscope lens adapter.
Humans Diabetic Retinopathy Artificial Intelligence Reproducibility of Results Deep Learning Diabetes Mellitus Referral and Consultation
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Screening for Diabetic Retinopathy Using an Automated Diagnostic System Based on Deep Learning: Diagnostic Accuracy Assessment.

Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde Oct 29, 2020
PURPOSE: To evaluate the diagnostic accuracy of a diagnostic system software for the automated screening of diabetic retinopathy (DR) on digital colour fundus photographs, the 2019 Convolutional Neural Network (CNN) model with Inception-V3.
Mass Screening Diabetic Retinopathy Neural Networks, Computer Cross-Sectional Studies Deep Learning Diabetes Mellitus Humans
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Defining and Classifying New Subgroups of Diabetes.

Annual review of medicine Oct 16, 2020
An etiologically based classification of diabetes is needed to account for the heterogeneity of type 1 and type 2 diabetes (T1D and T2D) and emerging forms of diabetes worldwide. It may be productive for both classification and clinical discovery to ...
Machine Learning Diabetes Mellitus Disease Management Humans
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THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.

Diabetic medicine : a journal of the British Diabetic Association Sep 27, 2020
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for detecting referable diabetic retinopathy and maculopathy, while maintaining high specificity for non-referable disease, for clinical implementation within...
Diabetic Retinopathy Artificial Intelligence Algorithms Retrospective Studies Female Aged Retina Humans Implementation Science Middle Aged Triage Adolescent New Zealand Child Adult Aged, 80 and over Image Processing, Computer-Assisted Sensitivity and Specificity Young Adult Diabetes Mellitus Male Mass Screening
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A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model.

Interdisciplinary sciences, computational life sciences Sep 12, 2020
The selection of gene identifier from microarray databases is a challenging task since microarray contains large number of gene attributes for a few samples. This article proposes a novel fuzzy-rough set-based gene expression features selection using...
Fuzzy Logic Cluster Analysis Biomarkers Diabetes Mellitus Humans Algorithms
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Diagnosis of diabetes in pregnant woman using a Chaotic-Jaya hybridized extreme learning machine model.

Journal of integrative bioinformatics Aug 13, 2020
As stated by World Health Organization (WHO) report, 246 million individuals have suffered with diabetes disease over worldwide and it is anticipated that by 2025 this estimation can cross 380 million. So, the proper and quick diagnosis of this disea...
Neural Networks, Computer Machine Learning Algorithms Humans Diabetes Mellitus Pregnancy Female Pregnant People
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