Analyzing the Occurrence of Stroke using Machine Learning-A comparative Study on Supervised Learning Models-Reference-Cited by-同舟云学术

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Analyzing the Occurrence of Stroke using Machine Learning-A comparative Study on Supervised Learning Models

Published:2022-12-28 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)
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Author:

Khilar Rashmita¹,Krishna B.T.²,Usha S.³,Chakrapani I. S.⁴,Ali Abdul Rahman H⁵,C Saravanakumar⁶

Affiliation:

1. Saveetha University,Department of Information Technology,Chennai,India

2. Jawaharlal Nehru Technological University,Department of ECE,Kakinada,India

3. SriSairam Engineering College,Department of ECE,Chennai,India

4. PRR & VS Government College,Department of Zoology,Nellore,India

5. Mahatma Gandhi University,Department Information Technology & Computer Science,Meghalaya,India

6. SRM Valliammai Engineering College,Department of ECE,Kattankulathur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10059457/10059586/10060744.pdf?arnumber=10060744

Reference31 articles.

1. Radiometric Analysis of Ankle Edema via RZF Antenna for Biomedical Applications

2. Stroke in the21stCentury: A Snapshot of the Burden, Epidemiology, and Quality of Life

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. An Experimental Analysis of Brain Stroke Prediction Using Machine Learning Algorithms;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

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