Abstract

The maternal health includes the health conditions of women in three stages that are during pregnancy, childbirth and the postpartum time. We can also say that maternal health is the health of women at the time during pregnancy, at the time of childbirth and during the raising of a child. The creation of life in the form of a baby is a fulfilling experience to a woman but sometimes a large percentage of women develop many health problems and some even die. Machine learning performs well in the medical domain also. This machine learning allows us to understand the situations of patients by delivering medical information, helps in classifying the diseases, detecting anomalies, in predicting future of any treatment on a disease etc. In this paper we implemented our support vector machine model for maternal health risk analysis. Testing accuracy of this model is 72.906 percent. The training accuracy of this model is 73.4895 percent. We aim to improve maternal health during pregnancy and after pregnancy so that overall maternal mortality decreases