AIMC Topic: Diabetes Mellitus
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Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study.
BMJ open
Jul 28, 2022
OBJECTIVE: To develop and validate a real-world screening, guideline-based deep learning (DL) system for referable diabetic retinopathy (DR) detection.
Drug Recommendation System for Diabetes Using a Collaborative Filtering and Clustering Approach: Development and Performance Evaluation.
Journal of medical Internet research
Jul 15, 2022
BACKGROUND: Diabetes is a public health problem worldwide. Although diabetes is a chronic and incurable disease, measures and treatments can be taken to control it and keep the patient stable. Diabetes has been the subject of extensive research, rang...
An Ensemble Approach to Predict Early-Stage Diabetes Risk Using Machine Learning: An Empirical Study.
Sensors (Basel, Switzerland)
Jul 13, 2022
Diabetes is a long-lasting disease triggered by expanded sugar levels in human blood and can affect various organs if left untreated. It contributes to heart disease, kidney issues, damaged nerves, damaged blood vessels, and blindness. Timely disease...
Automated image curation in diabetic retinopathy screening using deep learning.
Scientific reports
Jul 1, 2022
Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, incorrect field and ungradable samples which require curation, a laborious task to perform manually. We developed and validated single and multi-output ...
Analysis of Diabetes Clinical Data Based on Recurrent Neural Networks.
Computational intelligence and neuroscience
Jun 27, 2022
At present, diabetes is one of the most important chronic noncommunicable diseases, that have threatened human health. By 2020, the number of diabetic patients worldwide has reached 425 million. This amazing number has attracted the great attention o...
Planning and Selection of Facility Layout in Healthcare Services.
Hospital topics
Jun 26, 2022
Facility layout planning (FLP) is an integral part of the hospital layout design. The purpose of this article is to develop and elaborate a FLP method for a diabetes clinic using a case study approach. In this study, the Systematic Layout Planning (S...
Rule extraction from biased random forest and fuzzy support vector machine for early diagnosis of diabetes.
Scientific reports
Jun 14, 2022
Due to concealed initial symptoms, many diabetic patients are not diagnosed in time, which delays treatment. Machine learning methods have been applied to increase the diagnosis rate, but most of them are black boxes lacking interpretability. Rule ex...
A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs.
BioMed research international
Jun 7, 2022
Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a challenging task. The blood veins visible in fundus photographs are used in several disease diagnosis approaches. We sought to replicate the findings publi...
Enhancement of Detection of Diabetic Retinopathy Using Harris Hawks Optimization with Deep Learning Model.
Computational intelligence and neuroscience
May 26, 2022
In today's world, diabetic retinopathy is a very severe health issue, which is affecting many humans of different age groups. Due to the high levels of blood sugar, the minuscule blood vessels in the retina may get damaged in no time and further may ...
A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique.
Medical & biological engineering & computing
May 11, 2022
Diabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without any alarm. Therefore, it is essential to scan and audit the DR progress continuously. In this respect, deep learning techniques achieved great success in medic...
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