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ROC AUC and accuracy of logistic regression, NRN, and ANN models of abnormal TPA.
| Model type | ROC AUC | Accuracy | variables in the model |
|---|---|---|---|
| Logistic regression | -- | 80% | ACE, 25(OH)D, hypercholesterolemia |
| Nearest Related Neighbor (NRN) | 0.75 | -- | Hydroxychloroquine use, 25(OH)D, ACE, statin |
| Artificial Neural Network (ANN) | 0.88 | -- | WHR, BMI, SBP, HDQ, TG, 25(OH)D, SLE onset age, DBP, LDL, age, SLEDAI, ACE, season, hypercholesterolemia, SLICC, years with SLE |
