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Fig. 2 | Arthritis Research & Therapy

Fig. 2

From: Predicting rheumatoid arthritis progression from seronegative undifferentiated arthritis using machine learning: a deep learning model trained on the KURAMA cohort and externally validated with the ANSWER cohort

Fig. 2

Feature importance in the FNN model estimated using SHAP. (A) Averaged SHAP values that reflect the impact on the model. (B) Beeswarm plot showing the correlation between feature values and SHAP values. When the SHAP value is positive, the feature contributes positively to the prediction of RA progression. (C) Dependance plots showing the correlation between SHAP values and the values of the variables

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Arthritis Research & Therapy

ISSN: 1478-6362

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