AIMC Topic: Diabetes Mellitus

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Is handling unbalanced datasets for machine learning uplifts system performance?: A case of diabetic prediction.

Diabetes & metabolic syndrome Sep 5, 2022
BACKGROUND AND AIMS: Healthcare is a sensitive sector, and addressing the class imbalance in the healthcare domain is a time-consuming task for machine learning-based systems due to the vast amount of data. This study looks into the impact of socioec...
Humans Female Machine Learning Diabetes Mellitus Principal Component Analysis Algorithms
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Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study.

Neuroinformatics Aug 26, 2022
Functional magnetic resonance imaging (fMRI) has been shown successfully to assess and stratify patients with painful diabetic peripheral neuropathy (pDPN). This supports the idea of using neuroimaging as a mechanism-based technique to individualise ...
Humans Machine Learning Deep Learning Diabetic Neuropathies Neuroimaging Diabetes Mellitus Magnetic Resonance Spectroscopy Magnetic Resonance Imaging
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Novel Internet of Things based approach toward diabetes prediction using deep learning models.

Frontiers in public health Aug 24, 2022
The integration of the Internet of Things with machine learning in different disciplines has benefited from recent technological advancements. In medical IoT, the fusion of these two disciplines can be extremely beneficial as it allows the creation o...
Humans Diabetes Mellitus Neural Networks, Computer Support Vector Machine Deep Learning Internet of Things
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Diabetic retinopathy screening using deep learning for multi-class imbalanced datasets.

Computers in biology and medicine Aug 18, 2022
Screening and diagnosis of diabetic retinopathy disease is a well known problem in the biomedical domain. The use of medical imagery from a patient's eye for detecting the damage caused to blood vessels is a part of the computer-aided diagnosis that ...
Diagnosis, Computer-Assisted Deep Learning Humans Diabetic Retinopathy Diabetes Mellitus Image Interpretation, Computer-Assisted
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Feasibility Study of Constructing a Screening Tool for Adolescent Diabetes Detection Applying Machine Learning Methods.

Sensors (Basel, Switzerland) Aug 17, 2022
Prediabetes and diabetes are becoming alarmingly prevalent among adolescents over the past decade. However, an effective screening tool that can assess diabetes risks smoothly is still in its infancy. In order to contribute to such significant gaps, ...
Humans Feasibility Studies Diabetes Mellitus Adolescent Area Under Curve Nutrition Surveys Machine Learning
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Liver enzymes, alcohol consumption and the risk of diabetes: the Suita study.

Acta diabetologica Aug 16, 2022
AIM: We aimed to investigate the combined impact of liver enzymes and alcohol consumption on the diabetes risk.
Alcohol Drinking Diabetes Mellitus Alanine Transaminase Ethanol Risk Factors Aspartate Aminotransferases Liver Humans Male gamma-Glutamyltransferase Female
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A Deep Learning Model Incorporating Knowledge Representation Vectors and Its Application in Diabetes Prediction.

Disease markers Aug 12, 2022
The deep learning methods for various disease prediction tasks have become very effective and even surpass human experts. However, the lack of interpretability and medical expertise limits its clinical application. This paper combines knowledge repre...
Humans Neural Networks, Computer Diabetes Mellitus Support Vector Machine Machine Learning Deep Learning
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A comprehensive review of methods based on deep learning for diabetes-related foot ulcers.

Frontiers in endocrinology Aug 8, 2022
BACKGROUND: Diabetes mellitus (DM) is a chronic disease with hyperglycemia. If not treated in time, it may lead to lower limb amputation. At the initial stage, the detection of diabetes-related foot ulcer (DFU) is very difficult. Deep learning has de...
Deep Learning Diabetes Mellitus Algorithms Humans Diabetic Foot Quality of Life Neural Networks, Computer
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Diagnosing Diabetic Retinopathy in OCTA Images Based on Multilevel Information Fusion Using a Deep Learning Framework.

Computational and mathematical methods in medicine Aug 4, 2022
OBJECTIVE: As an extension of optical coherence tomography (OCT), optical coherence tomographic angiography (OCTA) provides information on the blood flow status at the microlevel and is sensitive to changes in the fundus vessels. However, due to the ...
Diabetes Mellitus Tomography, Optical Coherence Fluorescein Angiography Retinal Vessels Diabetic Retinopathy Deep Learning Humans
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Gray wolf optimization-extreme learning machine approach for diabetic retinopathy detection.

Frontiers in public health Aug 1, 2022
Many works have employed Machine Learning (ML) techniques in the detection of Diabetic Retinopathy (DR), a disease that affects the human eye. However, the accuracy of most DR detection methods still need improvement. Gray Wolf Optimization-Extreme L...
Support Vector Machine Humans Machine Learning Diabetic Retinopathy Diabetes Mellitus Neural Networks, Computer
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