Computational Assessment of Hypertensive Disorders in Pregnancy: Identifying Risk Factors and Early Indicators

R. Gomathi, Dr. K. Menaka

Abstract: Hypertensive disorders during pregnancy, such as gestational hypertension and preeclampsia, pose significant risks to both maternal and fetal health. Early detection of these conditions is crucial to mitigate potential complications and ensure better outcomes. In this study, we present a computational analysis aimed at detecting hypertensive disorders in pregnant women. By leveraging statistical techniques, we explore the relationship between various clinical parameters and the risk of developing gestational hypertension and preeclampsia. Our findings provide valuable insights into the potential early indicators of these disorders, paving the way for more accurate and timely diagnosis, which could lead to improved maternal care and fetal well - being. This computational approach holds promise as an efficient and expedient tool for physicians to identify high - risk cases and implement proactive interventions during pregnancy.

Keywords: Gestational Hypertension, Preeclampsia, Statistical Analyses