摘要：Artificial intelligence has had an impact on a variety of fields, including medicine and, most importantly, cardiovascular diseases. Indeed, early diagnosis of many disorders is a serious medical issue. In this article, we will compare various machine learning algorithms in order to select the optimal one for diagnosing people who might suffer from heart disease based on a variety of clinical data from patients. The effort in this article is focused on studying the dataset using data mining algorithms, and also explaining the used machine learning algorithms in predicting heart disease, in order to assist future researchers in getting the most out of these skills.
