Data Science And Its Application In Heart Disease Prediction

This paper is the attempt to make the heart disease prediction at very early stage. As it is well known fact that most of the death causing disease all over the world is heart disease then comes cancer which is also very chronic and dangerous disease which has haunted the human being all over the globe. This disease and problem do not occur all of a sudden. Scientist and Doctors reveals that it is a continues process and is the result of being on a particular lifestyle for long time and also results after giving some basic and common symptoms being occurring all of a sudden. Eventually what does happen in the heart attacks is, the heart is not able to pump the required amount of blood to the parts of the body and more over it itself also does not get enough blood supply due to blocked arteries in the heart chambers there, for it results in heart failure and deaths. This paper brings the concepts of data science and its algorithms to make a hybrid model which can predict the disease of heart in the patient in comfortable ample of time advance. Moreover, the system must suggest useful and precautionary steps to the patient which are of globally accepted standards well in advance. The hybrid model is to predict and suggest the heart patient with world class heart solutions made with the help of data science algorithms namely Naïve Bayes, ANN, SVM and Hybrid Naïve Bayes, SVM, and ANN. The Accuracy, specificity, and sensitivity of Naïve Bayes, ANN, SVM and Hybrid Naïve Bayes, SVM, and ANN has been measured. The results nearly 2% increase in the accuracy in predicting the heart disease in hybrid model. Hybrid model also shows higher specificity and sensitivity by having 82.11% and 91.47 % respectively. This paper also considers different attributes and has shown positivity in the connections with the heart disease like genetics, physical activity, total fat consumption, stress and working conditions. This research shows new direction to the research area where these concepts can be applied to the smart devices, data science to revolutionize the heart disease diagnosis and cures. This project can be effective to the make awareness of the complexities of the heart disease.