Vascular risk factors and diabetic neuropathy [PDF]
Background: Other than glycemic control, there are no treatments for diabetic neuropathy. Thus, identifying potentially modifiable risk factors for neuropathy is crucial.
Chaturvedi, N.+7 more
core +1 more source
The conundrum of diabetic neuropathies-Past, present, and future. [PDF]
Ang L+6 more
europepmc +1 more source
Computing Individual Risks based on Family History in Genetic Disease in the Presence of Competing Risks [PDF]
When considering a genetic disease with variable age at onset (ex: diabetes , familial amyloid neuropathy, cancers, etc.), computing the individual risk of the disease based on family history (FH) is of critical interest both for clinicians and patients. Such a risk is very challenging to compute because: 1) the genotype X of the individual of interest
arxiv
A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System [PDF]
Diabetes is a global epidemic and it is increasing at an alarming rate. The International Diabetes Federation (IDF) projected that the total number of people with diabetes globally may increase by 48%, from 425 million (year 2017) to 629 million (year 2045).
arxiv
The effects of Tai Chi on peripheral somatosensation, balance, and fitness in Hispanic older adults with type 2 diabetes:a pilot and feasibility study [PDF]
Peripheral neuropathy and loss of somatosensation in older adults with type 2 diabetes can increase risk of falls and disability. In nondiabetic older adult population Tai Chi has been shown to enhance balance and fitness through improvements in ...
Cavegn, Elisabeth I., Riskowski, Jody
core +4 more sources
The Expanded Bead Size of Corneal C-Nerve Fibers Visualized by Corneal Confocal Microscopy Is Associated with Slow Conduction Velocity of the Peripheral Nerves in Patients with Type 2 Diabetes Mellitus. [PDF]
This is the final version of the article. Available from Hindawi Publishing Corporation via the DOI in this record.This study aims to establish the corneal nerve fiber (CNF) morphological alterations in a large cohort of type 2 diabetic patients and to ...
Ishibashi, F+5 more
core +1 more source
Accuracy of machine learning for differentiation between optic neuropathies and pseudopapilledema
Background This study is to evaluate the accuracy of machine learning for differentiation between optic neuropathies, pseudopapilledema (PPE) and normals.
Jin Mo Ahn+4 more
doaj +1 more source
MSSDA: Multi-Sub-Source Adaptation for Diabetic Foot Neuropathy Recognition [PDF]
Diabetic foot neuropathy (DFN) is a critical factor leading to diabetic foot ulcers, which is one of the most common and severe complications of diabetes mellitus (DM) and is associated with high risks of amputation and mortality. Despite its significance, existing datasets do not directly derive from plantar data and lack continuous, long-term foot ...
arxiv
PERIPHERAL NERVE CONDUCTION IN DIABETIC NEUROPATHY [PDF]
R. W. Gilliatt, R. G. Willison
openalex +1 more source