Login / Signup

NICU Admission for Term Neonates in a Large Single-Center Population: A Comprehensive Assessment of Risk Factors Using a Tandem Analysis Approach.

Shahar TalismanJoshua GuedaliaRivka FarkashTehila AvitanNaama SrebnikYair KasirerMichael S SchimmelDunia GhanemRon UngerSorina Grisaru Granovsky
Published in: Journal of clinical medicine (2022)
The present study identified NICU admission risk factors for term neonates; along with the machine learning ranking of the risk factors, the highly predictive model may serve as a basis for individual risk calculation algorithm prior to delivery. We suggest that in the future, this type of planning of the delivery will serve different health systems, in both high- and low-resource environments, along with the NICU admission or transfer policy.
Keyphrases
  • preterm infants
  • low birth weight
  • risk factors
  • machine learning
  • emergency department
  • public health
  • healthcare
  • deep learning
  • mental health
  • artificial intelligence
  • big data