Table 4 Association among the study objectives, feature types and algorithms
Study Objectives | Feature Category | Algorithms |
|---|---|---|
To predict delivery method | Demographic factors, obstetric characteristics, maternal factors | DT, NB, SVM, GLM |
To compare maternal and neonatal outcome of vaginal intended breech deliveries between low weight group high weight group | Â | MA |
To predict success of vaginal birth after cesarean delivery | Demographic factors, obstetric characteristics, maternal factors, medical and obstetric history, neonatal features, ultrasound measurements, behavioral parameters | MA, UA, RF, AE, GB |
Prediction of preterm/extreme preterm birth | Demographic factors, obstetric characteristics, maternal factors, current medical record, medical and obstetric history | DT, NN, RF, KNN |
Predicting risk level during pregnancy | Demographic factors, obstetric characteristics, maternal factors, medical and obstetric history | C4.5 DT |
Explore risks related to voluntary termination of pregnancy | Demographic factors, obstetric characteristics, medical and obstetric history, pregnancy termination attributes | DT, GLM, SVM |
Prediction of risk of uterine rupture | Demographic factors, obstetric characteristics, maternal factors, medical and obstetric history | LR |
Prediction of risk of perinatal death | Demographic factors, obstetric characteristics, maternal factors, behavioral parameters | LR, MA, UA |
To explore factors responsible for preterm birth | Demographic factors, obstetric characteristics, maternal factors, behavioral parameters, medical and obstetric history, current medical record | NB, SVM, NN, C5.0 DT, clustering PAM |
Prediction of low birth weight and factors responsible for it | Â | DT, SVM, RF, NB, NN, LR, J48 |
Determining factors related to successful vaginal delivery | Demographic factors, obstetric characteristics, maternal factors, medical and obstetric history | MA |
To explore factors responsible for emergency cesarean section | Demographic factors, obstetric characteristics, maternal factors, medical and obstetric history, neonatal features | MA, UA |
Predicting successful pregnancy after IVF | Demographic factors, maternal factors, medical and obstetric history, ultrasound measurements | SVM, C4.5, RF, CART |
Predicting early pregnancy loss during IVF treatment | Â | LR, SVM, DT, BPNN, XB, RF |
Predicting the live birth chance after IVF treatment | Â | SVM, RF, LR, XB |
To determine the suitability of induction of labor | Demographic factors, maternal factors, medical and obstetric history, ultrasound measurements | MA |
To determine potential value of cervical length in predicting progress of labor | Â | MA, UA |