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. 2022 Jun 21;10:874455. doi: 10.3389/fpubh.2022.874455

Figure 4.

Figure 4

Influence of input features on the outcome of the XGBoost model. The top three features are LDH, WBC, and EOT. It indicates that they have important auxiliary diagnostic significance for COVID-19. The model found that patients with higher WBC count, higher LDH level, or higher EOT count, were more likely to have COVID-19. It might assist physicians to make their decisions.