AIMC Topic: Diabetes Mellitus

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Deep Learning-Based Diabetic Retinopathy Severity Grading System Employing Quadrant Ensemble Model.

Journal of digital imaging Mar 8, 2021
The diabetic retinopathy accounts in the deterioration of retinal blood vessels leading to a serious compilation affecting the eyes. The automated DR diagnosis frameworks are critically important for the early identification and detection of these ey...
Humans Deep Learning Diabetes Mellitus Retinal Vessels Diabetic Retinopathy Neural Networks, Computer
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A review on current advances in machine learning based diabetes prediction.

Primary care diabetes Feb 26, 2021
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged period in the body as it is not capable of using it properly. The severe complications associated with diabetes include diabetic ketoacidosis, nonketotic hype...
Humans Machine Learning Algorithms Data Mining Diabetes Mellitus Bayes Theorem
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Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.

International journal of medical informatics Feb 22, 2021
BACKGROUND: Diabetes is a chronic noncommunicable disease with high incidence rate. Diabetics without early diagnosis or standard treatment may contribute to serious multisystem complications, which can be life threatening. Timely detection and inter...
ROC Curve Diabetes Mellitus Humans Machine Learning Tongue Early Diagnosis
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Diabetes detection using deep learning techniques with oversampling and feature augmentation.

Computer methods and programs in biomedicine Feb 15, 2021
BACKGROUND AND OBJECTIVE: Diabetes is a chronic pathology which is affecting more and more people over the years. It gives rise to a large number of deaths each year. Furthermore, many people living with the disease do not realize the seriousness of ...
Neural Networks, Computer Databases, Factual Diabetes Mellitus Humans Deep Learning
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The Need for Ethnoracial Equity in Artificial Intelligence for Diabetes Management: Review and Recommendations.

Journal of medical Internet research Feb 10, 2021
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adults living with diabetes, those from ethnoracial minority communities-foreign-born, immigrant, refugee, and culturally marginalized-are at increased ri...
Ethnicity Minority Groups Artificial Intelligence Diabetes Mellitus Humans
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Segmentation Approaches for Diabetic Foot Disorders.

Sensors (Basel, Switzerland) Jan 30, 2021
Thermography enables non-invasive, accessible, and easily repeated foot temperature measurements for diabetic patients, promoting early detection and regular monitoring protocols, that limit the incidence of disabling conditions associated with diabe...
Foot Thermography Foot Diseases Diabetic Foot Early Diagnosis Deep Learning Diabetes Mellitus Humans
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Catch Me if You Can: Acute Events Hidden in Structured Chronic Disease Diagnosis Descriptions Show Detectable Recording Patterns in EHR.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Our previous research shows that structured cancer DX description data accuracy varied across electronic health record (EHR) segments (e.g. encounter DX, problem list, etc.). We provide initial evidence corroborating these findings in EHRs from patie...
Odds Ratio Models, Statistical Electronic Health Records Chronic Disease Humans Datasets as Topic Diabetes Mellitus Glycated Hemoglobin Machine Learning Medical Informatics
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Recent Advancements and Future Prospects on E-Nose Sensors Technology and Machine Learning Approaches for Non-Invasive Diabetes Diagnosis: A Review.

IEEE reviews in biomedical engineering Jan 22, 2021
Diabetes mellitus, commonly measured through an invasive process which although is accurate, has manifold drawbacks especially when multiple reading are required at regular intervals. Accordingly, there is a need to develop a dependable non-invasive ...
Signal Processing, Computer-Assisted Acetone Breath Tests Electronic Nose Glucose Diabetes Mellitus Monitoring, Physiologic Biomarkers Biosensing Techniques Humans Machine Learning
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Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis.

Journal of medical Internet research Jan 21, 2021
BACKGROUND: The impending scale up of noncommunicable disease screening programs in low- and middle-income countries coupled with limited health resources require that such programs be as accurate as possible at identifying patients at high risk.
Humans Machine Learning Hypertension Diabetes Mellitus Early Diagnosis Male Middle Aged Risk Assessment Retrospective Studies Female
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Predicting mortality in critically ill patients with diabetes using machine learning and clinical notes.

BMC medical informatics and decision making Dec 30, 2020
BACKGROUND: Diabetes mellitus is a prevalent metabolic disease characterized by chronic hyperglycemia. The avalanche of healthcare data is accelerating precision and personalized medicine. Artificial intelligence and algorithm-based approaches are be...
Artificial Intelligence Humans Diabetes Mellitus Machine Learning Critical Illness Natural Language Processing Electronic Health Records
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