期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：8
页码：1198-1212
DOI：10.35629/5252-030810091018
语种：English
出版社：IJAEM JOURNAL
摘要：This research work is about to predict the occurrence of a heart stroke disease among patients .Predictive analytical techniques for heart stroke using machine learning model is applied on the given hospital dataset. The main objective is to design predictive analytics model which diagnoses heart stroke stages of patients. In addition, the performance of the model was applied on the given hospital dataset with evaluation of classification report and identify the confusion matrix using supervised machine learning algorithms. Also, the behaviour of the proposed model was evaluated against performance of various machine learning algorithms from the given healthcare department dataset and with evaluation classification reports were made. Identification of confusion matrix and the categorization of data from priority and the result shows that the effectiveness of GUI based proposed machine learning algorithm technique can be compared with best accuracy metrics precision, Recall and F1 Score.
