Fig. 5

SHAP interprets the mode. A Attributes of characteristics in SHAP. Each line represents a feature and the abscissa is the SHAP value. Red dots represent higher eigenvalues and blue dots represent lower eigenvalues. B Feature importance ranking as indicated by SHAP. The matrix diagram describes the importance of each covariate in the development of the final predictive model. C Individual efforts by patients with ARDS and D without ARDS. The SHAP value represents the predicted characteristics of an individual patient and the contribution of each characteristic to the predicted ARDS. The number in bold is the probability forecast value (f(x)), while the base value is the predicted value without providing input to the model. F(x) is the logarithmic ratio of each observation. Red features indicate an increased risk of ARDS and blue features indicate a reduced risk of ARDS. The length of the arrows helps visualize the extent to which the prediction is affected. The longer the arrow, the greater the effect