PREECLAMPSIA RISK MONITORING AND ALERT SYSTEM USING IOT

Abstract: Preeclampsia is a pregnancy complication characterized by high blood pressure and signs of damage to another organ system, most often the liver and kidneys. Preeclampsia usually begins after 20 weeks of pregnancy in women whose blood pressure had been normal. Initially, we have to monitor the heartbeat rate, temperature, and blood pressure of pregnant women. Using the previous outcomes of preeclampsia results and machine learning which is used to predict possible outcomes and predict preeclampsia. And we are going to monitor blood pressure and if there is a sudden change be monitored and intimated.The data are stored in a cloud device IoT.

Keywords: HB sensor, Temperature sensor, BP sensor, Machine Learning