Fig. 10 | Scientific Reports

Fig. 10

From: Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates

Fig. 10

Features’ importance of each classifier in the hierarchical classification model. The ranking of features (variables) plays a crucial role in predicting outcomes for a hierarchical classification model. Pink, green, pastel orange, and purple lines represent each of the outcome predictions. Input variables interact with each other for the outcome prediction. Creatinine, postnatal age interaction, and creatinine play important roles in algorithmic decision-making.

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