Exploring machine learning methods for predicting systemic lupus erythematosus with herpes.

Da-Cheng WangYang-Yang TangCheng-Song HeLu FuXiao-Yan LiuWang-Dong Xu

Published in: International journal of rheumatic diseases (2023)

The random forest model may be an excellently performing model, which may help clinicians to identify SLE patients whose disease is complicated by herpes early.

Keyphrases

systemic lupus erythematosus
machine learning
end stage renal disease
disease activity
ejection fraction
newly diagnosed
chronic kidney disease
climate change
peritoneal dialysis
prognostic factors
palliative care
rheumatoid arthritis
patient reported outcomes