Early Prediction of Labour Force Dropout in SLE Patients: An LSTM Approach
Date:
Javier Mencia Ledo, Dennisse Bonilla, Dr. Zahi Touma, Dr. Nowrouzi-Kia
Selected for oral presentation at SUDS Showcase.
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease causing unpredictable flares and multiorgan irreversible damage, often leading to functional decline. About 20-40% of patients exit the workforce prematurely due to disability, unemployment, or mortality, resulting in financial and psychological strain. This study developed an interpretable LSTM model to identify high-risk patients early, enabling timely interventions like treatment adjustments or workplace accommodations. The model was able to flag 89% of future disability cases with a median lead time of 28.6 months
Click SLErisk.pdf to view it
