Implementation of Classification Algorithms to Predict Mode of Delivery

Abstract—During pregnancy, the anxiety associated with the mode of delivery is high. Also, there is an increase in the number of cases, where doctors suggest C-section delivery when it is medically not required. The American College of Obstetricians and Gynaecologists (ACOG) suggests that a healthcare provider should consider individuals ’ specific risk factors such as age, body mass index, gestation age and future reproductive plans while recommending the type of delivery. In this paper, using data classification algorithms, we have identified certain parameters which help us do this. We have used two classification algorithms –Naive Bayes and ID3 to determine the mode of delivery based on several parameters present in obstetric ultra sonography reports, and blood and urine test reports of pregnant women. The result shows a high precision and recall thereby validating the accuracy of these classification algorithms for successful prediction