Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning
Primary open-angle glaucoma (POAG) is a leading cause of irreversible blindness
worldwide. Although deep learning methods have been proposed to diagnose POAG, it …
worldwide. Although deep learning methods have been proposed to diagnose POAG, it …
Predicting SARS-CoV-2 infection among hemodialysis patients using deep neural network methods
COVID-19 has a higher rate of morbidity and mortality among dialysis patients than the
general population. Identifying infected patients early with the support of predictive models …
general population. Identifying infected patients early with the support of predictive models …
The effect of long‐term COVID‐19 on aetiological factors related to nocturia
Abstract Aims and Objectives This study was conducted to examine the possible aetiology of
nocturia in patients with long‐term COVID‐19. Background Physical and neuropsychiatric …
nocturia in patients with long‐term COVID‐19. Background Physical and neuropsychiatric …
Detection of COVID-19 patients using machine learning techniques: A nationwide Chilean study
Epivigila is a Chilean integrated epidemiological surveillance system with more than
17,000,000 Chilean patient records, making it an essential and unique source of information …
17,000,000 Chilean patient records, making it an essential and unique source of information …
Artificial intelligence and machine learning in dialysis: ready for prime time?
P Kotanko, H Zhang, Y Wang - … Journal of the American Society of …, 2023 - journals.lww.com
Hardly a day passes without the announcement of new successes delivered by artificial
intelligence (AI) and machine learning (ML). The list of AI/ML applications that directly or …
intelligence (AI) and machine learning (ML). The list of AI/ML applications that directly or …
Predicting SARS-CoV-2 infection among hemodialysis patients using multimodal data
Background The coronavirus disease 2019 (COVID-19) pandemic has created more
devastation among dialysis patients than among the general population. Patient-level …
devastation among dialysis patients than among the general population. Patient-level …
Risk factors associated with COVID-19 severity among patients on maintenance haemodialysis: a retrospective multicentre cross-sectional study in the UK
Objectives To assess the applicability of risk factors for severe COVID-19 defined in the
general population for patients on haemodialysis. Setting A retrospective cross-sectional …
general population for patients on haemodialysis. Setting A retrospective cross-sectional …
Predictors of shorter-and longer-term mortality after COVID-19 presentation among dialysis patients: parallel use of machine learning models in Latin and North …
AM Guinsburg, Y Jiao, MID Bessone, CK Monaghan… - BMC nephrology, 2022 - Springer
Background We developed machine learning models to understand the predictors of shorter-
, intermediate-, and longer-term mortality among hemodialysis (HD) patients affected by …
, intermediate-, and longer-term mortality among hemodialysis (HD) patients affected by …
[HTML][HTML] A nonparametric mixed-effects mixture model for patterns of clinical measurements associated with COVID-19
Some patients with COVID-19 show changes in signs and symptoms such as temperature
and oxygen saturation days before being positively tested for SARS-CoV-2, while others …
and oxygen saturation days before being positively tested for SARS-CoV-2, while others …
Trajectories of clinical and laboratory characteristics associated with COVID‐19 in hemodialysis patients by survival
S Chaudhuri, R Lasky, Y Jiao, J Larkin… - Hemodialysis …, 2022 - Wiley Online Library
Introduction The clinical impact of COVID‐19 has not been established in the dialysis
population. We evaluated the trajectories of clinical and laboratory parameters in …
population. We evaluated the trajectories of clinical and laboratory parameters in …