A Comparative Analysis of Ten Classifiers and their Impact on Early Detection of Stroke Prediction

Author:

Dinkar Shivam1,Nikhil Yendluri1,Bhargav Bhasyam1,Gopichand Gottipati1,Singh Priyanka1

Affiliation:

1. SRM University, Andhra Pradesh,Department of Computer Science and Engineering,Amravati,India

Publisher

IEEE

Reference20 articles.

1. Pattern and risk factors of stroke in the young among stroke patients admitted in medical college hospital, thiruvananthapuram;Subha;Annals of Indian Academy of Neurology,2015

2. Machine intelligence in stroke prediction

3. Epidemiological Approaches to Heart Disease: The Framingham Study

4. Probability of stroke: a risk profile from the Framingham Study.

5. Short-term Predictors of Incident Stroke in Older Adults

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