MODEL DEPENDENCE OF PROBABILITY OF HAVING A CAESAREAN SECTION FROM RISK FACTORS

Abstract

Identified and analyzed the risk factors that increase the likelihood that labor will end with a cesarean section and constructed the model of dependence probability operations from those of the factors whose influence was statistically significant. The constructed model helps to justify the need for cesarean section as on the stages of pregnancy, and the stages of its planning. This will either allow you to avoid CS, or to reduce its negative effects.

Keywords

• моделирование
• логистическая регрессия
• roc-анализ
• беременность
• операция кесарева сечения