The Lancet, 1995 Incontinence has about a 15 percent prevalence among elderly women. Some of the factors associated with incontinence are psychosocial implications of stigmatization, the decreased quality of life, and the economic considerations of nursing home costs.
D, Ames, I R, Hastie
openaire +5 more sources
Forecasting the levels of disability in the older population of England: Application of neural nets [PDF]
arXiv, 2023 Deep neural networks are powerful tools for modelling non-linear patterns and are very effective when the input data is homogeneous such as images and texts. In recent years, there have been attempts to apply neural nets to heterogeneous data, such as tabular and multimodal data with mixed categories.
arxiv
Computation of Diet Composition for Patients Suffering from Kidney and Urinary Tract Diseases with the Fuzzy Genetic System [PDF]
International Journal of Computer Applications (0975-8887)-Volume
36, No.6, December 2011, 2013 Determination of dietary food consumed a day for patients with diseases in general, greatly affect the health of the body and the healing process, is no exception for people with kidney disease and urinary tract. This paper presents the determination of diet composition in the form of food subtance for people with kidney and urinary tract diseases with
arxiv +1 more source
A Clinical and Finite Elements Study of Stress Urinary Incontinence in Women Using Fluid-Structure Interactions [PDF]
, 2017 Stress Urinary Incontinence (SUI) or urine leakage from urethra occurs due to an increase in abdominal pressure resulting from stress like a cough or jumping height. SUI is more frequent among post-menopausal women. In the absence of bladder contraction, vesical pressure exceeds from urethral pressure leading to urine leakage. Despite a large number of
arxiv +1 more source
Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance [PDF]
arXiv, 2022 Pressure ulcers are a challenge for patients and healthcare professionals. In the UK, 700,000 people are affected by pressure ulcers each year. Treating them costs the National Health Service {\pounds}3.8 million every day. Their etiology is complex and multifactorial. However, evidence has shown a strong link between old age, disease-related sedentary
arxiv
Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques [PDF]
Digital Health, Volume 8, 2022, 20552076221111289Background: Postpartum urinary incontinence (PUI) is a common issue among postnatal women. Previous studies identified potential related variables, but lacked analysis on certain intrinsic and extrinsic patient variables during pregnancy. Objective: The study aims to evaluate the most influential variables in PUI using machine learning, focusing on ...
arxiv +1 more source
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract [PDF]
arXiv, 2021 Ureteroscopy and cystoscopy are the gold standard methods to identify and treat tumors along the urinary tract. It has been reported that during a normal procedure a rate of 10-20 % of the lesions could be missed. In this work we study the implementation of 3 different Convolutional Neural Networks (CNNs), using a 2-steps training strategy, to classify
arxiv
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset [PDF]
arXiv, 2022 In this paper, a semi-automatic annotation of bacteria genera and species from DIBaS dataset is implemented using clustering and thresholding algorithms. A Deep learning model is trained to achieve the semantic segmentation and classification of the bacteria species. Classification accuracy of 95% is achieved.
arxiv
Screening of Pneumonia and Urinary Tract Infection at Triage using TriNet [PDF]
arXiv, 2023 Due to the steady rise in population demographics and longevity, emergency department visits are increasing across North America. As more patients visit the emergency department, traditional clinical workflows become overloaded and inefficient, leading to prolonged wait-times and reduced healthcare quality.
arxiv
A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles [PDF]
arXiv, 2023 Biomarker analysis of athletes' urinary steroid profiles is crucial for the success of anti-doping efforts. Current statistical analysis methods generate personalised limits for each athlete based on univariate modelling of longitudinal biomarker values from the urinary steroid profile.
arxiv