Using neural networks to determine factors causing heart attacks
Keywords:
Heart attacks, Logistic regression, Machine learning, Computer science, Diagnosis, PythonAbstract
According to the CDC, someone in the US suffers a heart attack every 40 seconds. Heart disease is the leading cause of death for both men and women across ethnicities. Early action can help prevent many of these fatalities. We attempt to predict the factors associated with heart attacks and enable patients to take early action. In this paper, we will use concepts of machine learning such as neural networks to develop the model, as well as predicting the likelihood that a patient will have a heart attack.
References or Bibliography
Andriy Burkov. The hundred-page machine learning book, volume 1. Andriy Burkov Canada, 2019.
Jerome Friedman, Trevor Hastie, Robert Tibshirani, et al. The elements of statistical learning, volume 1. Springer series in statistics New York, 2001.
Tom M Mitchell et al. Machine learning. 1997.
Toby Segaran. Programming collective intelligence: building smart web 2.0 applications. ” O’Reilly Media, Inc.”, 2007.
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