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. 2022 Nov 23;182(3):987–995. doi: 10.1007/s00431-022-04684-5

Fig. 2.

Fig. 2

Decision trees depicting the most important risk factors in determining the likelihood of neonatal clinical instability at birth. A Decision tree for all studied births. Oxytocin during labour followed by maternal complications were the two most important predictive factors for neonatal clinical instability. B Decision tree for vaginal births. Oxytocin during labour followed by meconium liquor were the most important predictive factors in infants born vaginally. C Decision tree for caesarean births. Maternal complications followed by difficult extraction of the infant were the most important predictors in infants born via caesarean section. For all decision trees, the probability of showing signs of clinical instability at the terminal nodes is shaded in black. *For infants born vaginally, there was no Bonferroni-adjusted p value < 0.05 to generate any splits. As a result, we used the chi square value for variable selection to generate an interpretable tree; a method which is prone to overfitting