Predicting the Risks of Brain Stroke Using Machine Learning Models and Artificial Neural Network-Reference-Cited by-同舟云学术

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Predicting the Risks of Brain Stroke Using Machine Learning Models and Artificial Neural Network

Published:2023-11-16 Issue: Volume:23 Page:1-7
ISSN:
Container-title:2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)
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Author:

Nahid Nafiz¹,Hossain Mehrab¹,Rifat Ariful Islam²,Khan Raisa Meher Durdana³,Islam Ashraful⁴

Affiliation:

1. Sylhet Engineering College,Department of Computer Science and Engineering,Sylhet,Bangladesh

2. American International University,Department of Computer Science and Engineering,Dhaka,Bangladesh

3. Daffodil International University,Department of Software Engineering,Dhaka,Bangladesh

4. University of Regina,Department of Computer Science,Regina,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419864/10419874/10420159.pdf?arnumber=10420159

Reference16 articles.

1. Prevalence and risk factors of stroke in Bangladesh: A nationwide population-based survey

2. Risk factors for stroke: A hospital based study;Khan;Citeseer,2007

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine-Learning Application for Detection and Prediction of Stroke Risk and Post-Stroke Outcomes: A Comprehensive Review;2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD);2024-08-01

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