AIMC Topic: Diabetes Mellitus

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Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data.

Sensors (Basel, Switzerland) May 6, 2020
Significant attention has been paid to the accurate detection of diabetes. It is a big challenge for the research community to develop a diagnosis system to detect diabetes in a successful way in the e-healthcare environment. Machine learning techniq...
Delivery of Health Care ROC Curve Diabetes Mellitus Telemedicine Humans Machine Learning Algorithms
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DR|GRADUATE: Uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images.

Medical image analysis Apr 30, 2020
Diabetic retinopathy (DR) grading is crucial in determining the adequate treatment and follow up of patient, but the screening process can be tiresome and prone to errors. Deep learning approaches have shown promising performance as computer-aided di...
Diagnosis, Computer-Assisted Deep Learning Diabetes Mellitus Fundus Oculi Humans Diabetic Retinopathy Uncertainty
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Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.

The Lancet. Digital health Apr 23, 2020
BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus photographs. We used a cost-minimisation analysis to evaluate the potential savings ...
Photography Physical Examination Telemedicine Cost-Benefit Analysis Diagnostic Techniques, Ophthalmological Health Care Costs Singapore Models, Biological Retina Sensitivity and Specificity Middle Aged Image Processing, Computer-Assisted Diabetes Mellitus Mass Screening Decision Trees Ophthalmology Artificial Intelligence Machine Learning Humans Aged Diabetic Retinopathy Adult
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Artificial Intelligence: The Future for Diabetes Care.

The American journal of medicine Apr 20, 2020
Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms...
Humans Diabetic Retinopathy Telemedicine Deep Learning Algorithms Mobile Applications Decision Support Systems, Clinical Self-Management Genomics Image Processing, Computer-Assisted Risk Assessment Diabetes Mellitus Neural Networks, Computer Diagnosis, Computer-Assisted Support Vector Machine Artificial Intelligence Machine Learning
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Artificial Intelligence and Digital Tools: Future of Diabetes Care.

Clinics in geriatric medicine Apr 17, 2020
Diabetes mellitus has become a global threat, especially in the emerging economies. In the United States, there are about 24 million people with diabetes mellitus. Diabetes represents a trove of physiologic and sociologic data that are only superfici...
Neural Networks, Computer Artificial Intelligence Delivery of Health Care Decision Support Systems, Clinical Humans Expert Systems Decision Making, Computer-Assisted Diabetes Mellitus Natural Language Processing Knowledge Bases
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Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography.

Translational vision science & technology Apr 13, 2020
PURPOSE: To evaluate the role of ensemble learning techniques with deep learning in classifying diabetic retinopathy (DR) in optical coherence tomography angiography (OCTA) images and their corresponding co-registered structural images.
Fluorescein Angiography Retinal Vessels Humans Diabetic Retinopathy Deep Learning Diabetes Mellitus Tomography, Optical Coherence
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Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke.

PloS one Apr 10, 2020
Convolutional Neural Networks (CNNs) have become a prominent method of AI implementation in medical classification tasks. Grading Diabetic Retinopathy (DR) has been at the forefront of the development of AI for ophthalmology. However, major obstacles...
Retina Cloud Computing Diabetes Mellitus Humans Mass Screening Diabetic Retinopathy New Zealand Neural Networks, Computer Fundus Oculi
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Data science and machine learning in anesthesiology.

Korean journal of anesthesiology Mar 25, 2020
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods that are largely inference-based, ML is geared more towards making accurate predictions. ML is a field of artificial intelligence concerned with devel...
Humans Machine Learning Anesthesiology Databases, Factual Blood Glucose Electronic Health Records Diabetes Mellitus Data Science Data Interpretation, Statistical
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Modeling the Research Landscapes of Artificial Intelligence Applications in Diabetes (GAP).

International journal of environmental research and public health Mar 17, 2020
The rising prevalence and global burden of diabetes fortify the need for more comprehensive and effective management to prevent, monitor, and treat diabetes and its complications. Applying artificial intelligence in complimenting the diagnosis, manag...
Humans Artificial Intelligence Forecasting Diabetes Mellitus Bibliometrics Publications
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Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach.

Diabetes & metabolic syndrome Mar 10, 2020
BACKGROUND AND AIMS: Diabetes has been recognized as a continuing health challenge for the twenty-first century, both in developed and developing countries including Bangladesh. The main objective of this study is to use machine learning (ML) based c...
Bangladesh Demography Factor Analysis, Statistical Area Under Curve Humans Middle Aged Discriminant Analysis Machine Learning Automation Health Surveys Female Treatment Outcome Diabetes Mellitus, Type 2 Diabetes Mellitus Reproducibility of Results Logistic Models Support Vector Machine Adult Male
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