Analysis and Observations of Associated Factors of Cardiovascular Disease

Abstract

Machine learning contributes into gamut of domains starting from industry automation to healthcare services. It is a field of Artificial Intelligence using which machine can make decision without human intervention. There are many predominant machine learning algorithms which have proven their excellence in the field of regression and classification problem. Machine learning now a day is used in large scale in field of disease prediction. The acceptability of a machine learning based model depends on dataset used for training the model. Analysis of dataset is very important to identify the importance of individual attributes contribute to make decision. In this paper a cardiovascular disease dataset collected from UCI has been analyzed in detail to identify the distribution and impact of them in decision making.