Prediction of Blood Pressure and Cholesterol By Machine Learning Technique

Blood pressure (BP) is the pressure of circulating blood against the walls of blood vessels. Cholesterol is any of a class of certain organic particles called lipids [1]. High blood pressure along with high cholesterol are two of the main causes of heart disease. Heart disease, stroke, and other cardiovascular (blood vessel) diseases are among the primary cause of death. Approximately 10 million people every year die having high blood pressure and it was found that 6 in 10 Indians have abnormal levels of blood cholesterol [2]. An increase in blood cholesterol signifies an increase in a man's blood pressure, which can easily lead to abnormal blood pressure,e.g. high blood pressure. Generally, Prediction refers to the output of an algorithm after it has been trained on a dataset. Here Authors tried to predict whether a sample can have blood pressure and cholesterol or both present or not by analyzing some datasets. Generally, for making these types of predictions, machine learning algorithms are a very appropriate and most-used technique. A Multiple Linear Regression was applied in this study. Data has been analyzed through Multiple Linear Regression Analysis (MRA). The proposed model is tested on a Primary Data Set, prepared by Techno Engineering College Banipur’s students, and the relevant data of this Dataset has been collected from some districts in West Bengal, India. Through this research, approximately 76 percent of the data was predicted correctly.