Figure 3 | Scientific Reports

Figure 3

From: Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test

Figure 3

Feature importance for predicting relapse and comparison of each feature between RA patients with remission and relapse. (A) Importance of features for predicting relapse calculated by XGBoost model. (B) Comparison of each feature between RA patients with remission and relapse. (C) Visualization of the characteristics of the selected features in XGBoost model using tSNE. *P < 0.05, **P < 0.01, ***P < 0.001. SMI superb microvascular imaging, MTP metatarsophalangeal, LYMPH lymphocyte count, ESR erythrocyte sedimentation rate, PLT platelet count, ALT alanine aminotransferase, GPT glutamic pyruvic transaminase, GS gray scale, CRE creatinine, US ultrasound.

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