Figure 1.

Schematic of study design. Ninety-seven neonates were randomly allocated into a training (70%) or testing cohort (30%). Four machine learning models were used to obtain the optimal combination of genes to predict bronchopulmonary dysplasia (BPD). BPD was defined per the National Institute of Child Health and Human Development, wherein neonates requiring supplemental oxygen ≥28 days were diagnosed with the condition. VLBW, very low birth weight.