Towards comparing and using Machine Learning techniques for detecting and predicting Heart Attack and Diseases

Heart diseases are one of the deadly but are silent killers for humans, which results in the increase in death rate of sufferers every year. The World Health Organization (WHO), in the year 2016, reported that 17.9 million deaths that occur worldwide per year are a result of heart disease. In the he...

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Bibliographic Details

Published in:	2019 IEEE International Conference on Big Data (Big Data) pp. 2393 - 2402
Main Authors:	Obasi, Thankgod, Omair Shafiq, M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2019
Subjects:	Cardiac arrest Classification Classification algorithms Data mining Data models Decision Support System Heart Heart Attack Heart Disease Logistic Regression Naïve Bayes Classifier Predicted Results Prediction algorithms Random Forest
Online Access:	Get full text
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