• Nima Nayak
• Prof. Maulik Trivedi

Pregnancy is a delicate stage in every woman’s life. In pregnancy, normally the blood pressure of a mother goes down by 10 mmHg from her normal blood pressure. And that is good for fetus health. But during pregnancy, so many complications and risks can arise and blood pressure goes up. High blood pressure is a symptom of hypertension. And it creates a risk to maternal and fetus health at several stages of pregnancy. In today’s era, machine learning has developed so many techniques for the prediction of disease. The main goal of this paper is to analyze and compare different machine learning algorithms used to predict hypertensive disorders. These classification methods help to decrease maternal and fetus mortality, which remains a large problem in many developing nations, especially in rural areas.

Data mining, Machine learning algorithms, Prediction, Pregnancy

"Performance Analysis of Boosting Algorithms to Predict Hypertension in Pregnancy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.c644-c646, January-2022, Available :http://www.jetir.org/papers/JETIR2201282.pdf

"Performance Analysis of Boosting Algorithms to Predict Hypertension in Pregnancy", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppc644-c646, January-2022, Available at : http://www.jetir.org/papers/JETIR2201282.pdf