Prediction of the mode of delivery using artificial intelligence algorithms

• DOI: 10.1016/j.cmpb.2022.106740
• Publication Date: 2022-03-10T16:10:16Z
• Authors: Alberto De Ramón ...; Daniel Ruiz Ferná...; María Teresa Prie...
• Keywords: Labour ward; Mode (computer interface); Perceptron

Mode of delivery is one the issues that most concerns obstetricians. The caesarean section rate has increased progressively in recent years, exceeding limit recommended by health institutions. Obstetricians generally lack necessary technology to help them decide whether a appropriate based on antepartum and intrapartum conditions.In this study, we have tested suitability using three popular artificial intelligence algorithms, Support Vector Machines, Multilayer Perceptron and, Random Forest, develop clinical decision support system for prediction mode according categories: section, euthocic vaginal instrumental delivery. For purpose, used comprehensive database consisting 25,038 records with 48 attributes women who attended give birth at Service Obstetrics Gynaecology University Clinical Hospital "Virgen de la Arrixaca" Murcia Region (Spain) from January 2016 2019. Women involved were patients singleton pregnancies emergency room active labour or undergoing planned induction medical reasons.The implemented algorithms showed similar performance, all reaching an accuracy equal above 90% classification between deliveries somewhat lower, around 87% euthocic.The results validate use these build gynaecologists predict