Results 101 to 110 of about 615,781 (294)
This cross-sectional study is aimed at determining the prevalence of distal symmetrical polyneuropathy (DSPN) and diabetic peripheral neuropathic pain (DPNP) in participants with type 2 diabetes mellitus (T2DM); finding the risk factors for DSPN and DPNP
Yi-Ching Weng+9 more
doaj +1 more source
Heterogeneous knowledge representation using a finite automaton and first order logic: a case study in electromyography [PDF]
In a certain number of situations, human cognitive functioning is difficult to represent with classical artificial intelligence structures. Such a difficulty arises in the polyneuropathy diagnosis which is based on the spatial distribution, along the nerve fibres, of lesions, together with the synthesis of several partial diagnoses.
arxiv
Sonographic features of active Charcot neuro‐osteoarthropathy: A case series
Abstract Aims To describe the sonographic features of active Charcot neuro‐osteoarthropathy (CNO) and assess the potential role of ultrasound in identifying those with active CNO. Methods Using a prospective case‐series study design we assessed the sonographic features of 14 patients with a diagnosis of diabetes presenting with clinical signs and ...
Jennifer A. Pallin+6 more
wiley +1 more source
Variable Weights Neural Network For Diabetes Classification [PDF]
As witnessed in the past year, where the world was brought to the ground by a pandemic, fighting Life-threatening diseases have found greater focus than ever. The first step in fighting a disease is to diagnose it at the right time. Diabetes has been affecting people for a long time and is growing among people faster than ever. The number of people who
arxiv
Abstract Aim/Hypothesis Recently, we reported that increasing free carnitine availability resulted in elevated skeletal muscle acetylcarnitine concentrations and restored metabolic flexibility in individuals who have impaired glucose tolerance. Metabolic flexibility is defined as the capacity to switch from predominantly fat oxidation while fasted to ...
Yvonne M. H. Op den Kamp‐Bruls+14 more
wiley +1 more source
HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System [PDF]
Diabetes Mellitus has no permanent cure to date and is one of the leading causes of death globally. The alarming increase in diabetes calls for the need to take precautionary measures to avoid/predict the occurrence of diabetes. This paper proposes HealthEdge, a machine learning-based smart healthcare framework for type 2 diabetes prediction in an ...
arxiv
Abstract Background Acquired equine polyneuropathy in Nordic horses (AEP) is the most prevalent equine polyneuropathy in Norway, Sweden, and Finland and is characterised by pelvic limb knuckling due to metatarsophalangeal extension dysfunction.
Anna May+6 more
wiley +1 more source
Effect of Rood's approach In diabetic polyneuropathy [PDF]
Background: Diabetic neuropathy is the commonest complication of DM, affecting 47% patients with peripheral neuropathy. Rood’s Approach is a neurophysiological approach which is based on reflexes of central nervous system. Basic concept of Rood’s is that the motor patterns are developed from primitive reflexes through proper sensory stimuli to ...
Namrata Kadam+2 more
openaire +3 more sources
Lagged Poincaré and auto-correlation analysis of Heart rate variability in diabetes [PDF]
The heart rate variability (HRV) in diabetic human subjects, has been analyzed using lagged Poincar\'{e} plot, auto-correlation and the detrended fluctuation analysis methods. The parameters $SD1$, and $SD12 (= SD1/SD2)$ for Poincar\'{e} plot for diabetic are lower than that for non-diabetic subjects and reverse is case for $SD2$ for all lagged number (
arxiv
Abstract Background The relationship between type 2 diabetes and the incidence of transurethral resection of the prostate (TURP) remains uncertain. Aims To utilise data from the Fremantle Diabetes Study Phase I (FDS1) to examine the association between type 2 diabetes and incident TURP and investigate risk factors in men with type 2 diabetes.
Timothy M. E. Davis, Wendy A. Davis
wiley +1 more source