Using Regression Model Data to Predicts the Outcomes of Pregnancies (A Case Study of Dutse General Hospital)

Abstract

A logistic regression model has been developed previously to predict the outcome of pregnancies. This model was based on the human chorionic gonadotropin (HCG) ratio. As women present at earlier gestation to early pregnancy units (EPU) the number of women diagnosed with early pregnancy of unknown location increases. Some of these women will have an ectopic pregnancy (EP) and this group in the population poses the greatest concern. Data were gathered in a single early pregnancy unit from all women with an early pregnancy, were this data set was divided into a model building. We developed regression model with expert information using this data set to predict the outcome of pregnancies.

Keywords: chrionic gonadotropin, gestation,embrayo,pregnancy.