AIMC Topic: Diabetes Mellitus

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Machine Learning Models for Data-Driven Prediction of Diabetes by Lifestyle Type.

International journal of environmental research and public health Nov 15, 2022
The prevalence of diabetes has been increasing in recent years, and previous research has found that machine-learning models are good diabetes prediction tools. The purpose of this study was to compare the efficacy of five different machine-learning ...
Life Style Nutrition Surveys Diabetes Mellitus Humans Machine Learning Logistic Models
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Design and Usability of an Avatar-Based Learning Program to Support Diabetes Education: Quality Improvement Study in Colombia.

Journal of diabetes science and technology Nov 14, 2022
BACKGROUND: This quality improvement study, entitled Avatar-Based LEarning for Diabetes Optimal Control (ABLEDOC), explored the feasibility of delivering an educational program to people with diabetes in Colombia. The aim was to discover how this app...
Humans Colombia Quality Improvement Artificial Intelligence Diabetes Mellitus
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A multi-granularity convolutional neural network model with temporal information and attention mechanism for efficient diabetes medical cost prediction.

Computers in biology and medicine Oct 30, 2022
As the cost of diabetes treatment continues to grow, it is critical to accurately predict the medical costs of diabetes. Most medical cost studies based on convolutional neural networks (CNNs) ignore the importance of multi-granularity information of...
Humans Neural Networks, Computer Diabetes Mellitus
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An automated unsupervised deep learning-based approach for diabetic retinopathy detection.

Medical & biological engineering & computing Oct 24, 2022
As per the International Diabetes Federation (IDF) report, 35-60% of people suffering from diabetic retinopathy (DR) have a history of diabetes. DR is one of the primary reasons for blindness and visual impairment worldwide among adults aged 24-74 ye...
Humans Diabetic Retinopathy Retina Deep Learning Diabetes Mellitus Neural Networks, Computer Algorithms
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Prevalence and Early Prediction of Diabetes Using Machine Learning in North Kashmir: A Case Study of District Bandipora.

Computational intelligence and neuroscience Oct 4, 2022
Diabetes is one of the biggest health problems that affect millions of people across the world. Uncontrolled diabetes can increase the risk of heart attack, cancer, kidney damage, blindness, and other illnesses. Researchers are motivated to create a ...
Machine Learning Diabetes Mellitus Humans Prevalence Support Vector Machine Neural Networks, Computer
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Detecting High-Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods.

Computational intelligence and neuroscience Sep 29, 2022
Diabetes is a chronic disease that can cause several forms of chronic damage to the human body, including heart problems, kidney failure, depression, eye damage, and nerve damage. There are several risk factors involved in causing this disease, with ...
Risk Factors Diabetes Mellitus Algorithms Reproducibility of Results Humans Early Diagnosis Machine Learning
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Early Prediction of Diabetes Using an Ensemble of Machine Learning Models.

International journal of environmental research and public health Sep 28, 2022
Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of significant complications, including cardiovascular disease, kidney failure, diabetic retinopathy, and neuropathy, among others, which contribute to an incr...
Bayes Theorem Analysis of Variance Diabetes Mellitus Area Under Curve Humans Machine Learning
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Minimized Computations of Deep Learning Technique for Early Diagnosis of Diabetic Retinopathy Using IoT-Based Medical Devices.

Computational intelligence and neuroscience Sep 14, 2022
Diabetes mellitus is the main cause of diabetic retinopathy, the most common cause of blindness worldwide. In order to slow down or prevent vision loss and degeneration, early detection and treatment are essential. For the purpose of detecting and cl...
Early Diagnosis Blindness Deep Learning Diabetes Mellitus Machine Learning Algorithms Diabetic Retinopathy Humans Artificial Intelligence
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Identifying Glucose Metabolism Status in Nondiabetic Japanese Adults Using Machine Learning Model with Simple Questionnaire.

Computational and mathematical methods in medicine Sep 9, 2022
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine learning model with a questionnaire. In this cross-sectional study, Japanese adults (aged 20-64 years) from Tokyo and surrounding areas were recruited...
Humans Machine Learning Glucose Japan Surveys and Questionnaires Diabetes Mellitus Adult Cross-Sectional Studies
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Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions.

Sensors (Basel, Switzerland) Sep 8, 2022
Deep learning (DL) enables the creation of computational models comprising multiple processing layers that learn data representations at multiple levels of abstraction. In the recent past, the use of deep learning has been proliferating, yielding pro...
Image Interpretation, Computer-Assisted Deep Learning Diabetes Mellitus Humans Diabetic Retinopathy Machine Learning Algorithms
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