An introduction to machine learning and analysis of its use in rheumatic diseases
KM Kingsmore, CE Puglisi, AC Grammer… - Nature Reviews …, 2021 - nature.com
Abstract Machine learning (ML) is a computerized analytical technique that is being
increasingly employed in biomedicine. ML often provides an advantage over explicitly …
increasingly employed in biomedicine. ML often provides an advantage over explicitly …
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a …
M Al-Maini, M Maindarkar, GD Kitas… - Rheumatology …, 2023 - Springer
The challenges associated with diagnosing and treating cardiovascular disease
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
(CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms …
Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets
F D'Ascenzo, O De Filippo, G Gallone, G Mittone… - The Lancet, 2021 - thelancet.com
Background The accuracy of current prediction tools for ischaemic and bleeding events after
an acute coronary syndrome (ACS) remains insufficient for individualised patient …
an acute coronary syndrome (ACS) remains insufficient for individualised patient …
Cardiovascular risk in axial spondyloarthritis—a systematic review
R Hintenberger, B Affenzeller, V Vladychuk… - Clinical …, 2023 - Springer
Cardiovascular manifestations are common in patients suffering axial spondyloarthritis and
can result in substantial morbidity and disease burden. To give an overview of this important …
can result in substantial morbidity and disease burden. To give an overview of this important …
ASNET: a novel AI framework for accurate ankylosing spondylitis diagnosis from MRI
Background: Ankylosing spondylitis (AS) is a chronic, painful, progressive disease usually
seen in the spine. Traditional diagnostic methods have limitations in detecting the early …
seen in the spine. Traditional diagnostic methods have limitations in detecting the early …
Persistence of C-reactive protein increased levels and high disease activity are predictors of cardiovascular disease in patients with axial spondyloarthritis
L Navarini, D Currado, A Marino, S Di Donato… - Scientific Reports, 2022 - nature.com
An accurate prediction of cardiovascular (CV) risk in patients with Axial Spondyloarthritis
(axSpA) is a strong unmet need, as CV risk algorithms poorly perform in these subjects. The …
(axSpA) is a strong unmet need, as CV risk algorithms poorly perform in these subjects. The …
Therapeutic targets for Ankylosing Spondylitis–Recent insights and future prospects
FM Perrotta, S Scriffignano, F Ciccia… - … Research and Reviews, 2022 - Taylor & Francis
Ankylosing spondylitis (AS) is a chronic inflammatory rheumatic disease belonging to the
axial spondyloarthritis (axSpA), a group of diseases that affects the axial skeleton and …
axial spondyloarthritis (axSpA), a group of diseases that affects the axial skeleton and …
The comparison of cardiovascular disease risk prediction scores and evaluation of subclinical atherosclerosis in rheumatoid arthritis: a cross-sectional study
Objectives Primary objectives estimated prevalence of traditional cardiovascular disease
(CVD) risk factors and compared different CVD risk prediction algorithms in an Indian …
(CVD) risk factors and compared different CVD risk prediction algorithms in an Indian …
High inflammatory burden predicts cardiovascular events in patients with axial spondyloarthritis: a long-term follow-up study
Background: Axial spondyloarthritis (axSpA) patients are at higher risk of cardiovascular
(CV) disease (CVD) than the general population, partly due to consequences of …
(CV) disease (CVD) than the general population, partly due to consequences of …
Exploring sex disparities in cardiovascular disease risk factors using principal component analysis and latent class analysis techniques
GSM Khamis, SM Alanazi - BMC Medical Informatics and Decision Making, 2023 - Springer
Background This study used machine learning techniques to evaluate cardiovascular
disease risk factors (CVD) and the relationship between sex and these risk factors. The …
disease risk factors (CVD) and the relationship between sex and these risk factors. The …