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Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach.

Leili TapakLeila Nezamabadi FarahaniNaeeme Taslimi TaleghaniNazanin EbrahimiadibElias Khalili PourAfsar Dastjani FarahaniOmid Hamidi
Published in: BMC ophthalmology (2024)
Our findings indicated that the duration of ventilation, GA, duration of oxygen supplementation, bilirubin levels, duration of antibiotic administration, duration of TPN, mother age, birth order, number of surfactant administrations, and on time screening are potential risk factors of prognosis of ROP. The associations between identified risk factors were mostly nonlinear. Therefore, it is recommended to consider the nature of these relationships in managing treatment and designing early interventions.
Keyphrases
  • risk factors
  • machine learning
  • pet ct
  • physical activity
  • risk assessment
  • deep learning
  • intensive care unit
  • pregnant women
  • climate change
  • preterm birth