High blood pressure prediction based on AAA using J48 classifier

The heart pumps the blood around the body to supply energy and oxygen for all the tissues of the body. In order to pump the blood, heart pushes the blood against the walls of arteries, which create some pressure inside the arteries, called as blood pressure. If this pressure is more than the desired level we treat it as high blood pressure (HBP). Present days HBP victims are growing in number across the globe. Blood Pressure (BP) may be elevated because of change in biological or psychological state of a person. In this paper, we considered attributes such as age, anger, and anxiety (AAA) of a person to predict whether a person is prone to HBP or not. In our technique, we used j48 classifier, which considers the impact of each A in AAA while elevating the blood pressure. Experimental analysis is done on real-time data set consist of 1000 records. Each record consist of age, anger level, anxiety level, systolic and diastolic blood pressure of a person. We used 60% records to train the model, and 40% records to test the model. Results showed 84.25 percent accuracy in prediction.