Classification of Indoor vs Outdoor induction labour success

Abstract

Induction of labour is a procedure which is performed when benefits of interrupting or stopping the pregnancy outweighs rather it is continued further. According to studies and surveys it is found that about 25% of the women requires induction for delivery in developed countries and the number slightly decreases in developing countries. Different methods are available to induce labour induction including mechanical and chemical. Various protocols suggest hospitalization before induction of labour but necessity of admission is not proven. Induction in a familiar home like environment may have benefits psychologically as well as financially. This study is about indoor and outdoor induction of labour, their outcomes and comparison of results based on success. Firstly data of pregnant women was collected with singleton pregnancies excluding complexities; patients were admitted in wards and emergency. Then machine learning algorithms are applied on collected data to find out the success rate of outcomes using features obtained at the time of admission. As hospitals of Pakistan are not much developed especially in rural areas. This study will assist patient as well as doctor to make decisions either to refer the patient to highly equipped hospital or not, also they will be able to predict the fetomaternal outcomes. A novel approach to present the comparative study of indoor and outdoor patients with future prediction of four fetomaternal outcomes using supervised machine learning algorithms; with best accuracy achieved by Ensemble Bagged Tree algorithms which is 87.9%, also concluded that outdoor induction is better than indoor induction in terms of outcomes success.