Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants

HIGHLIGHTS

  • who: Rebekah M. Leigh from the Machine learning-based predictive modeling analyzed a retrospective dataset encompassing infants born between , to , with a birth gestation of , weeks , days or less admitted to the neonatal intensive care unit (NICU) at the Loma Linda University Children`s Hospital (LLUCH) or at Riverside University Health System have published the paper: Machine learning for prediction of bronchopulmonary dysplasia-free survival among very preterm infants, in the Journal: (JOURNAL)
  • what: In this project, the authors sought to investigate whether perinatal features and the trajectory of early-life respiratory support can be . . .

     

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