AIMC Topic: Diabetic Neuropathies

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Artificial neural networks in the selection of shoe lasts for people with mild diabetes.

Medical engineering & physics Jan 14, 2019
This research addressed the selection of shoe lasts for footwear design to help relieve the pain associated with diabetic neuropathy and foot ulcers. A reverse engineering (RE) technique was used to convert point clouds corresponding to scanned shoe ...
Neural Networks, Computer Equipment Design Humans Diabetic Neuropathies Shoes Pain Diabetic Foot
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Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study.

Epidemiology and health Mar 24, 2016
OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropathy, one of the most common complications of diabetes mellitus, is a serious condition that can lead to amputation. This study used a multicategory su...
Support Vector Machine Diabetic Neuropathies Models, Statistical Surveys and Questionnaires Logistic Models Prevalence Humans Adult Algorithms Middle Aged Aged Cross-Sectional Studies
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Giant bladder (10,500 mL in volume) in the ED.

The American journal of emergency medicine Dec 21, 2015
Urinary Bladder, Neurogenic Male Tomography, X-Ray Computed Humans Urinary Retention Aged Diabetic Neuropathies Emergency Service, Hospital
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Postural visual dependence in asymptomatic type 2 diabetic patients without peripheral neuropathy during a postural challenging task.

Journal of diabetes and its complications Dec 18, 2015
UNLABELLED: Increasing evidence indicates that diabetes may negatively affect vestibular function, and postural control more so under postural challenging conditions. Healthy and diabetic subjects were compared on visual control of posture during a p...
Vision, Ocular Humans Male Diabetic Neuropathies Case-Control Studies Posture Space Perception Asymptomatic Diseases Diabetes Mellitus, Type 2 Adult Postural Balance Female
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Multiple-Image Deep Learning Analysis for Neuropathy Detection in Corneal Nerve Images.

Cornea Mar 1, 2020
PURPOSE: Automated classification of corneal confocal images from healthy subjects and diabetic subjects with neuropathy.
Reproducibility of Results Corneal Diseases Deep Learning Ophthalmic Nerve Diabetic Neuropathies Male Microscopy, Confocal Nerve Fibers Middle Aged Algorithms Humans Female Cornea
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