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

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

roc-анализ, RG1-991, операция кесарева сечения, Gynecology and obstetrics, логистическая регрессия, моделирование, Pediatrics, RJ1-570, беременность

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold