Developing a model to predict neonatal respiratory distress syndrome and affecting factors using data mining: A cross-sectional study

• Main Authors: Parisa Farshid (Author), Kayvan Mirnia (Author), Peyman Rezaei-Hachesu (Author), Elham Maserat (Author), Taha Samad-Soltani (Author)
• Format: Book
• Published: Shahid Sadoughi University of Medical Sciences, 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background: One of the major challenges that hospitals and clinicians face is the early identification of newborns at risk for adverse events. One of them is neonatal respiratory distress syndrome (RDS). RDS is the widest spared respiratory disorder in immature newborns and the main source...