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ORIGINAL RESEARCH

Factors Affecting Intention to Leave Among ICU Healthcare Professionals in China: Insights from a Cross-Sectional Survey and XGBoost Analysis

, , , , , , , & show all
Pages 2543-2553 | Received 23 Aug 2023, Accepted 02 Nov 2023, Published online: 22 Nov 2023

Figures & data

Table 1 Baseline Information of ICU Healthcare Personnel

Figure 1 Correlation plot of all analysed features. ICU, Intensive Care Unit.

Figure 1 Correlation plot of all analysed features. ICU, Intensive Care Unit.

Figure 2 Cumulative importance versus the number of features.

Figure 2 Cumulative importance versus the number of features.

Figure 3 ROC-AUC Curve. AUC indicates area under the curve; ROC, Receiver operating characteristic.

Figure 3 ROC-AUC Curve. AUC indicates area under the curve; ROC, Receiver operating characteristic.

Figure 4 Feature Importance Plot.

Figure 4 Feature Importance Plot.

Figure 5 SHAP Plot. SHARP, SHapley Additive exPlanations. Features are ranked in descending order of their accountability for the prediction. Each dot in the visualization represents one datapoint of a feature. Its color is related to the real data value: high value in red and low value in blue. The impact of each value is associated with higher or lower prediction, represented by SHAP values on x-axis.

Figure 5 SHAP Plot. SHARP, SHapley Additive exPlanations. Features are ranked in descending order of their accountability for the prediction. Each dot in the visualization represents one datapoint of a feature. Its color is related to the real data value: high value in red and low value in blue. The impact of each value is associated with higher or lower prediction, represented by SHAP values on x-axis.