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International Journal of Contemporary Research in Multidisciplinary

International Journal of Contemporary Research In Multidisciplinary, 2023;2(3):64-71

Using Ensembles and Machine Learning Techniques to Classify Heart Diagnosis

Author Name: Mohammed Abdul Rasool Ajmihachami, Karrar Ali Mohsin Alhameedawi, Anwar Abdullah Hasan Alanisi

Abstract

The term heart disease refers to a variety of diseases that affect the function of the heart. These diseases may affect the heart muscle, its valves, and the membrane surrounding it, or the primary arteries and veins to and from the heart. Heart diseases begin with acute pain attacks because of A blockage in one of the veins that delivers blood and oxygen to the heart, and thus the rate of oxygen reaching the heart decreases, or it may stop completely, causing heart attacks, angina pectoris, and other chronic diseases, which might represent a danger to the patient's life. According to the Centers for Disease Control and Prevention (CDC), heart disease is the leading cause of death in the United States, accounting for a quarter of all deaths. Due to the seriousness of this disease, many researchers have been motivated to search for methods and algorithms that reduce the risk of this research, and there are previous work in this way. preprocessing such as replace missing value with mean and detect outliers with KNN K-near nieghbar, then this work was evaluated using the following criteria: accuracy, f-measure , Recall, precision Among the results, the highest value was obtained in this research, reaching 100 with the bagging algorithm.

Keywords

Data Mining, Pre-processing, Diabetes Mellitus, Ensembles, Machine Learning.