Abstract: Most countries confront high and growing rates of heart illnesses or Cardiovascular Disease. In today’s era deaths due to heart diseases has become a major issue approximately one person dies per minute due to heart diseases. This is considering for both male and female category and this ratio is considered for the people of age group 25-69. To design a perceptive model for heart illnesses acknowledgment using machine learning strategies that are fit for enhancing the constancy of heart infections conclusion. Learning Discovery in Database strategy including nine iterative and instinctive advances was grasped to think basic cases from a dataset containing a couple of echocardiography examination reports of heart patients over the globe. Thereafter, we divide this data into Training and Testing Data Sets and employ SVM technique to obtain relatively higher prediction accuracy.
Keywords: Heart Diseases, Data Mining, Classification, Decision Tree, Machine Learning, Linear SVM.
Title: Heart diseases prediction using machine learning Techniques
Author: Miss Rajkumari Dayma, Miss Reenu
International Journal of Thesis Projects and Dissertations (IJTPD)
Research Publish Journals
