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Demonstration of the application of the global cesarean section rate model (C-Model) and the Robson Classification to estimate and characterize excess numbers of institutional c-sections

John Jairo Zuleta-Tobón
Published in: Revista colombiana de obstetricia y ginecologia (2021)
The C-Model allows to estimate expected c-section proportions according to the specific characteristics of the women seen at each institution; their distribution according to the Robson Classification is a way to explore the origin and particulars of those differences.
Keyphrases
  • machine learning
  • deep learning
  • polycystic ovary syndrome
  • type diabetes
  • adipose tissue