The Research of Factors of Hypertension

Abstract

The aim was to predict which group of people would have blood pressure problems. A random sample of 1000 people were used to investigate hypertension problems according to logistic regression. This project is to use logistic regression prediction technology to predict and analyze which group of people will have blood pressure problems by analyzing historical data such as age and weight. The independent variables are age and weight, and the dependent variables are 0 or 1 whether you have a blood pressure problem. Based on the Kaggle data set provided by a medical insurance company and the logistic regression model, we established an instance classifier of object logistic regression for calculation, and finally obtained the weight of independent variables, to roughly understand which factors are risk factors of hypertension. This weight can also be used to predict a person's likelihood of hypertension based on risk factors. We show that older and younger adults with high body weight are more likely to develop high blood pressure than the rest of the population. Excess body weight was strongly correlated with hypertension.