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Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records.
Chih-Wei Chung
Seng-Cho Chou
Tzu-Hung Hsiao
Grace Joyce Zhang
Yu-Fang Chung
Yi-Ming Chen
Published in:
BioData mining (2024)
ML approaches offer the potential to assist in diagnosing SLE and uncovering novel SNPs in a group of patients with autoimmunity.
Keyphrases
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electronic health record
systemic lupus erythematosus
machine learning
end stage renal disease
disease activity
ejection fraction
chronic kidney disease
newly diagnosed
prognostic factors
peritoneal dialysis
gene expression
genome wide
adverse drug
rheumatoid arthritis
artificial intelligence
deep learning