Combined logistic and Bayesian modeling of cesarean section risk

Article Abstract:

A study is undertaken to develop a simple and robust method for predicting risk of cesarean section. It is concluded that women at low or high risk of cesarean section after prostaglandin induction of labor can be identified with the use of a novel combination of logistic regression and Bayesian modeling.

Bayesian statistical decision theory, Bayesian analysis, Cesarean section

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An integrated model for the prediction of preeclampsia using maternal factors and uterine artery Doppler velocimetry in unselected low-risk women

Article Abstract:

The study aims to develop a predictive model for the estimation of patient-specific risk for the development of preeclampsia. The result reveals that the combination of uterine artery Doppler ultrasound and maternal factors provided the best estimate of risk.

Usage, Causes of, Preeclampsia, Laser Doppler velocimeter, Laser Doppler velocimeters

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Estimating risks of perinatal death

Article Abstract:

A number of aspects of the approach to the estimation of the risk of perinatal death are addressed. Estimates of risk of perinatal death from observational studies are used widely when women are counseled regarding obstetric intervention.

Health aspects, Pregnant women, Fetal death, Obstetrical research

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