AB1138 APPLICATION OF MACHINE LEARNING METHODS TO PREDICT SF-36 MENTAL HEALTH DOMAIN FOR SYSTEMIC LUPUS ERYTHEMATOSUS …

E Gaydukova - 2024 - ard.bmj.com
Background: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that
affects multiple organs and systems. However, in addition to physical damage, patients with …

SAT0647-HPR Develop a Machine Learning Model and Algorithm Based on Smart System of Disease Management (SSDM) Big Data for RA Flare Prediction

Y Zhao, R Mu, X Li, H Sun, C MI, G Wang, S Xu, M Xu… - 2020 - ard.bmj.com
Background: Flare, relapse from status of treat-to-target (T2T, DAS28<= 3.2), is hard
predicted. We try to make it predictable by applying machine learning to a database from …

AB1055 MACHINE LEARNING MODELING FOR PREDICTION OF POTENTIAL RISK FACTORS ASSOCIATED WITH KIDNEY INVOLVEMENT IN SYSTEMIC LUPUS …

S Xie, Y Jiang, B Xie, F Yuan, A Chen, Z Lin - 2024 - ard.bmj.com
Background: Systemic Lupus Erythematosus (SLE) is a chronic autoimmune disease
characterized by the production of autoantibodies and inflammation that can affect multiple …

POS0165 MACHINE LEARNING-BASED APPROACHES TOWARDS STRATIFICATION OF DISEASE SEVERITY AND ORGAN DAMAGE IN PATIENTS WITH …

P Garantziotis, D Nikolopoulos, C Adamichou… - 2024 - ard.bmj.com
Background: Organ damage is a key determinant of unfavorable long-term prognosis and
increased mortality, thus being reflective of disease severity in SLE patients. Objectives: To …

Development of a nomogram prediction model for depression in patients with systemic lupus erythematosus

H Chen, H Cui, Y Geng, T Jin, S Shi, Y Li… - Frontiers in …, 2022 - frontiersin.org
Systemic lupus erythematosus (SLE) is an inflammatory autoimmune disease with
depression as one of its most common symptoms. The aim of this study is to establish a …

AB1123 MACHINE LEARNING MODELS FOR ANALYZING THE PROGNOSTIC FACTORS OF SLE PATIENTS WITH EBV INFECTION

J Tu, M Fang, M Huang, T Zhou, J Gui, L Sun - 2024 - ard.bmj.com
Background: Systemic lupus erythematosus, characterized by a severe autoimmune disease
with strong individual heterogeneity, is particularly important to study the risk factors that …

POS1144 IDENTIFICATION OF PREDICTORS OF CARDIOVASCULAR EVENTS IN SYSTEMIC LUPUS ERYTHEMATOSUS: A MACHINE LEARNING APPROACH

D Mauro, E Gaggiano, A Milone, M Patrone, F Riccio… - 2024 - ard.bmj.com
Background: Cardiovascular events (CVE) are one of the major cause of mortality in
Systemic lupus erythematosus (SLE). Traditional cardiovascular risk (CVR) assessment …

THU0046 Predictive modeling of immunologic and inflammatory markers of impending disease flare in patients with systemic lupus erythematosus not taking …

JM Guthridge, R Lou, S Kamp, ME Munroe… - Annals of the …, 2014 - ard.bmj.com
Background Systemic lupus erythematosus (SLE) is a clinically heterogeneous disorder with
a waxing and waning clinical course. Reliable markers of clinical disease flare have been …

Lupus or not? SLE Risk Probability Index (SLERPI): a simple, clinician-friendly machine learning-based model to assist the diagnosis of systemic lupus erythematosus

C Adamichou, I Genitsaridi, D Nikolopoulos… - Annals of the …, 2021 - ard.bmj.com
Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex
process reflecting the probability of disease at a given timepoint against competing …

POS1146 HOW SOCIAL, CLINICAL AND DEMOGRAPHIC FACTORS AFFECT DEPRESSION IN LUPUS INDIVIDUALS, EVIDENCE FROM PATIENT REPORTED …

D Martinez, AL Hernández-Ledesma, SVV Del Valle… - 2024 - ard.bmj.com
Background: Patients with systemic lupus erythematosus (SLE) have shown higher
depression scores than controls. SLE can damage multiple organs, including the brain …